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* 00000058
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*! version 1.0.0
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* Do not erase or edit this file
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* It is used by Stata to track the ado and help
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* files you have installed.
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S http://www.unc.edu/~skolenik/stata
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N polychoric.pkg
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D 15 Dec 2006
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U 1
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d polychoric -- The polychoric correlation package
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d
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d Author: Stas Kolenikov, skolenik@unc.edu
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d
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d This package provides routines to estimate
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d the polychoric, tetrachoric, polyserial and biserial
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d correlations and use them in principal component analysis.
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d Current version: 1.4
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f p\polychoric.ado
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f p\polychoricpca.ado
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f p\polych_ll.ado
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f p\polyser_ll.ado
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f p\polychoric.hlp
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f p\polychoricpca.hlp
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e
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S http://www.stata.com/stb/stb61
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N sg158_1.pkg
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D 5 Mar 2007
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U 3
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d STB-61 sg158_1. Update to random-effects ordered probit
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d STB insert by Guillaume R. Frechette, Ohio State University
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d Support: gurst1@@econ.ohio-state.edu
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d After installation, see help ^reoprob^
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f g\ghquadm.ado
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f g\ghquadm.hlp
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f r\reop_ll.ado
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f r\reopc_ll.ado
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f r\reoprob.ado
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f r\reoprob.hlp
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f r\rfpr_ll1.ado
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f r\rfprobit.ado
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f r\rfprobit.hlp
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e
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S http://www.stata-journal.com/software/sj5-4
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N st0067_2.pkg
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D 5 Jun 2007
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U 4
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d SJ5-4 st0067_2. Update: Multiple imputation of missing...
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d Update: Multiple imputation of missing values
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d by Patrick Royston, MRC Clinical Trials Unit, London, UK
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d Support: patrick.royston@@ctu.mrc.ac.uk
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d After installation, type help ^ice^, ^micombine^, and ^mijoin^
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f i\ice.ado
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f i\ice.hlp
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f m\micombine.ado
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f m\micombine.hlp
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f m\mijoin.ado
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f m\mijoin.hlp
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f m\misplit.ado
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f m\misplit.hlp
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f u\uvis.ado
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f u\uvis.hlp
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f c\cmdchk.ado
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e
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S http://fmwww.bc.edu/repec/bocode/m
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N metaninf.pkg
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D 10 Jan 2008
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U 7
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d 'METANINF': module to evaluate influence of a single study in meta-analysis estimation
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d
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d metaninf investigates the influence of each individual study on
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d the overall meta-analysis summary estimate. The command presents
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d a table and a graph of the results of an influence analysis in
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d which the meta-analysis is reestimated omitting each study in
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d turn. metaninf is a parallel program to metainf (Aurelio Tobias;
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d STB-47: sbe26; STB-56: sbe26.1) that uses metan (rather than
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d meta) as its calculation engine, thus allowing access to the
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d additional meta-analytic models offered therein. metaninf also
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d differs from metainf in that metaninf uses metan's syntax and a
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d subset of its options (rather than those of meta). Program mhplot
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d (a variation of Nicholas Cox's hplot) is a required support
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d program. This version (1.0.2) allows the jackknifed estimates to
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d be saved. A Stata 8 dialog is included.
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d
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d Distribution-Date: 20010619
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d
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d Author: Thomas Steichen
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d Support: email steichen@@triad.rr.com
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d
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f m\metaninf.ado
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f m\metaninf.hlp
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f m\mhplot.ado
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f m\metaninf.dlg
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e
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S http://fmwww.bc.edu/repec/bocode/m
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N metafunnel.pkg
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D 2 Apr 2008
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U 8
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d 'METAFUNNEL': module to produce funnel plots for meta-analysis
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d
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d metafunnel plots funnel plots. These graphical displays are
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d used to examine whether the results of a meta-analysis may have
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d been affected by publication or other types of bias.
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d
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d Distribution-Date: 20030827
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d
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d Author: Jonathan Sterne, University of Bristol
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d Support: email jonathan.sterne@@bristol.ac.uk
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d
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f m\metafunnel.ado
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f m\metafunnel.hlp
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f m\metafunnel.dlg
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e
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S http://fmwww.bc.edu/repec/bocode/m
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N metabias.pkg
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D 2 Apr 2008
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U 9
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d 'METABIAS': module to test for publication bias in meta-analysis
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d
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d metabias performs the Begg and Mazumdar adjusted rank correlation
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d test for publication bias and performs the Egger et al.
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d regression asymmetry test for publication bias. As options, it
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d provides a funnel graph of the data or the regression asymmetry
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d plot. This is version 1.2.4 of the software. This version has
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d been modified to run correctly under Stata Version 7 and later
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d (though it remains a version 6 program) and fixes a bug in the
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d stratified Egger p-value.
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d
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d Author: Thomas Steichen
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d Support: email steichen@@triad.rr.com
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d
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d Distribution-Date: 20040409
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f m\metabias.ado
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f m\metabias.hlp
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f m\metabias.dlg
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e
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S http://www.stata.com/stb/stb56
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N sbe20_1.pkg
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D 2 Apr 2008
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U 10
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d STB-56 sbe20_1. Update of galbr
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d STB insert by Aurelio Tobias, Universidad Miguel Hernandez
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d Alicante, Spain
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d Support: bledatobias@@ctv.es
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d After installation, see help ^galbr^
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f g\galbr.ado
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f g\galbr.hlp
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e
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S http://fmwww.bc.edu/repec/bocode/l
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N loevh.pkg
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D 6 Nov 2008
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U 11
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d 'LOEVH': module to compute Guttman errors and Loevinger H coefficients
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d
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d LoevH computes the Loevinger H coefficients and the Guttman
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d errors (observed and expected) for each pair of items, between
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d one given item and all the others of a scale or among all the
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d possible pairs of items of a scale.
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d
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d KW: Loevinger H coefficients
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d KW: Guttman errors
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d KW: scale validation
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d
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d Requires: Stata version 7
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d
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d Distribution-Date: 20070621
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d
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d Author: Jean-Benoit Hardouin, University of Nantes, France
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d Support: email jean-benoit.hardouin@@univ-nantes.fr
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d
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f l\loevh.ado
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f l\loevh.hlp
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f a\anaoption.ado
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f t\traces.ado
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f t\traces.hlp
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f g\gengroup.ado
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f g\gengroup.hlp
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e
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S http://fmwww.bc.edu/repec/bocode/d
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N delta.pkg
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D 24 Nov 2008
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U 13
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d 'DELTA': module to compute the Delta index of scale discrimination
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d
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d delta computes the generalized delta index of scale
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d discrimination developed by Hankins (2007) based on the original
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d work of Ferguson (1949). This index measures the scale's
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d ability to distinguish between individuals. A value of 1
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d indicates that the test has maximal discrimination (all
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d possible scores occur with the same frequency) and a value of 0
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d means that the test has minimal discrimination (all the
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d respondents have the same score). A value of 0.9 results from a
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d set of scores that is normally distributed. A value of 1 is
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d observed if the scores follow a uniform distribution. Individuals
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d with a missing score are omitted.
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d
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d KW: delta index
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d KW: psychometrics
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d KW: Cronbach alpha
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d KW: discrimination
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d
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d Requires: Stata version 7
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d
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d Distribution-Date: 20080312
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d
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d Author: Jean-Benoit Hardouin , University of Nantes, France
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d Support: email jean-benoit.hardouin@@univ-nantes.fr
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d
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f d\delta.ado
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f d\delta.hlp
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e
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S http://fmwww.bc.edu/repec/bocode/m
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N metan.pkg
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D 3 Dec 2008
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U 15
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d 'METAN': module for fixed and random effects meta-analysis
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d
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d These routines provide facilities to conduct meta-analyses of
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d data from more than one study and to graph the results. Either
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d binary (event) or continuous data from two groups may be combined
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d using the metan command. Additionally, intervention effect
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d estimates with corresponding standard errors or confidence
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d intervals may be meta-analysed. Recently added facilities include
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d by() processing and an update to Stata 9 graphics. This is an
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d updated version of metan as published in STB-44, authored by
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d Michael J Bradburn, Jonathan J Deeks, Douglas G Altman. The
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d package includes a command to produce funnel plots to assess
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d small study effects, and L'Abbe plots to examine whether the
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d assumption of a common odds ratio, risk ratio or risk difference
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d is reasonable. Also included is the metannt program for binary
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d data, which displays estimated intervention effects in terms of
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d the absolute reduction in risk and number needed to treat. A
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d description of available Stata meta-analysis commands may be
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d found at http://www.stata.com/support/faqs/stat/meta.html.
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d
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d KW: meta-analysis
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d KW: fixed effects
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d KW: random effects
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d KW: forest plot
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d KW: l'Abbe plot
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d
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d Requires: Stata version 9 (version 7 for metan7)
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d
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d Distribution-Date: 20081117
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d
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d Author: Ross Harris, Department of Social Medicine, University of Bristol
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d Support: email ross.harris@@bristol.ac.uk
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d
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d Author: Mike Bradburn, Centre for Statistics in Medicine, University of Oxford
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d Support: email
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d
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d Author: Jon Deeks, Centre for Statistics in Medicine, University of Oxford
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d Support: email
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d
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d Author: Roger Harbord, Department of Social Medicine, University of Bristol
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d Support: email
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d
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d Author: Doug Altman, Centre for Statistics in Medicine, University of Oxford
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d Support: email
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d
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d Author: Thomas Steichen, RJRT
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d Support: email
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d
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d Author: Jonathan Sterne, Department of Social Medicine, University of Bristol
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d Support: email
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d
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f m\metan.ado
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f m\metan.hlp
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f l\labbe.ado
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f l\labbe.hlp
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f l\labbe.dlg
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f m\metan7.ado
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f m\metan7.hlp
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f m\metan7.dlg
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f m\metannt.ado
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f m\metannt.hlp
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f m\metannt.dlg
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f i\i2ci.ado
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f m\metan_examples.ado
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e
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S http://fmwww.bc.edu/repec/bocode/m
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N msp.pkg
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D 11 Dec 2008
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U 16
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d 'MSP': module to perform the Mokken Scale Procedure
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d
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d MSP implements the Mokken Scale Procedure defined by Hemker,
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d Sijtsma and Molenaar (1995). This procedure construct sub-scales
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d based on Loevinger H coefficients computed by LoevH (q.v.). The
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d results depend of a threshold "c" fixed by the user : the
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d authors of the procedure recommend to use a c exceeding 0.3. The
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d kernel of the first sub-scale can be fixed.
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d
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d KW: Mokken Scale Procedure
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d KW: MSP
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d KW: Loevinger H coefficients
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d KW: scale construction
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d
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d Requires: Stata version 7
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d
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d Distribution-Date: 20081108
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d
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d Author: Jean-Benoit Hardouin, University of Nantes, France
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d Support: email jean-benoit.hardouin@@univ-nantes.fr
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d
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f m\msp.ado
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f m\msp.hlp
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f l\loevh.ado
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f l\loevh.hlp
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e
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S http://fmwww.bc.edu/repec/bocode/c
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N clv.pkg
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D 11 Dec 2008
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U 17
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d 'CLV': module to implement a clustering of variables around latent components
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d
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d clv clusters variables around latent components. The variables
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d are clustered by searching to minimize at each step the
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d decreasing of the T criterion computed as the sum of the first
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d eigenvalues of the matrices of data of all the clusters. A
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d hierarchical cluster analysis based on this criterion is
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d realized. A consolidation procedure can be run in a second time,
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d which allows assigning each variable to the more correlated
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d latent components. The procedure is described by Vigneau and
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d Qannari (Communications in Statistics - Simulation and
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d Computation, 2003).
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d
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d KW: Clustering around latent components
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d KW: Varclus
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d KW: CLV
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d KW: unidimensionality
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d
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d Requires: Stata version 8.0
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d
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d Distribution-Date: 20061014
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d
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d Author: Jean-Benoit Hardouin , University of Nantes, France
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d Support: email jean-benoit.hardouin@@univ-nantes.fr
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d
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f c\clv.ado
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f c\clv.hlp
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e
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S http://fmwww.bc.edu/repec/bocode/s
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N simirt.pkg
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D 11 Dec 2008
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U 18
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d 'SIMIRT': module to process data generated by IRT models
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d
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d simirt allows creating a new dataset of responses to items
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d simulated by an unidimensional IRT model. The model can be
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d dichotomous (Rasch, OPLM, Birnbaum, 3PLM, 4PLM, 5PAM) or
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d polytomous (Rating Scale Model-RSM). It is possible to simulate
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d two sets of items linked, for each of them, to a specific latent
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d trait (which can be correlated). The Items Characteristic Curves
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d can be drawn.
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d
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d KW: simulation
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d KW: Rasch model
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d KW: Birnbaum model
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d KW: OPLM
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d KW: ICC
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d KW: Rating Scale Model
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d
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d Requires: Stata version 8
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d
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d Distribution-Date: 20061022
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d
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d Author: Jean-Benoit Hardouin, University of Nantes, France
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d Support: email jean-benoit.hardouin@@univ-nantes.fr
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d
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f s\simirt.ado
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f s\simirt.hlp
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e
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S http://fmwww.bc.edu/repec/bocode/e
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N elapse.pkg
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D 11 Dec 2008
|
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U 19
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d 'ELAPSE': module to calculate elapsed time in procedure
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d
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d Elapse displays a string with the name of the operation, if
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d specified, and the time elapsed between start_time and current
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d time.
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d
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d Author: Fred Zimmerman, Stanford University
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d Support: email zimmer@@leland.Stanford.EDU
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d
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d Distribution-Date: 20031221
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f e\elapse.ado
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f e\elapse.hlp
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e
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S http://fmwww.bc.edu/RePEc/bocode/i
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N iccconf.pkg
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D 5 Feb 2009
|
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U 20
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d 'ICCCONF': module to compute a confidence interval for an intraclass correlation (ICC)
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d
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d iccconf is an immediate command that computes a confidence
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d interval for a single intraclass correlation (ICC). The
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d procedure is based on Rosner's approach using the F-test.
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d
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d KW: intra-class correlation
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d KW: confidence interval
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d
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d Requires: Stata version 8
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d
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d Distribution-Date: 20081119
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d
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d Author: Paul F. Visintainer, Baystate Health System
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d Support: email visint46@@gmail.com
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d
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f i\iccconf.ado
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f i\iccconf.hlp
|
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e
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|
S http://www.stata-journal.com/software/sj4-2
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N pr0012.pkg
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D 24 Feb 2009
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U 22
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d SJ4-2 pr0012. Submenu and dialogs for meta-analysis commands
|
|
|
d Submenu and dialogs for meta-analysis commands
|
|
|
d by Thomas J. Steichen
|
|
|
d Support: steichen@@triad.rr.com
|
|
|
d After installation, type help ^meta_dialog^
|
|
|
f m\meta_dialog.hlp
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f f\funnel.dlg
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f g\galbr.dlg
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f l\labbe.dlg
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f m\metabias.dlg
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f m\metacum.dlg
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f m\meta.dlg
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f m\metafunnel.dlg
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|
f m\metainf.dlg
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|
f m\metan.dlg
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f m\metaninf.dlg
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f m\metannt.dlg
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f m\metap.dlg
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f m\metareg.dlg
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f m\metatrim.dlg
|
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|
e
|
|
|
S http://www.stata-journal.com/software/sj8-4
|
|
|
N sbe23_1.pkg
|
|
|
D 24 Feb 2009
|
|
|
U 23
|
|
|
d SJ8-4 sbe23_1. Update: Meta-regression in Stata (revised)
|
|
|
d Update: Meta-regression in Stata (revised)
|
|
|
d by Roger Harbord, Department of Social Medicine,
|
|
|
d University of Bristol, UK
|
|
|
d Julian Higgins, MRC Biostatistics Unit, Cambridge, UK
|
|
|
d Support: roger.harbord@@bristol.ac.uk
|
|
|
d After installation, type help ^metareg^
|
|
|
f m\metareg.ado
|
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|
f m\metareg_ll.ado
|
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|
f m\metareg_p.ado
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f m\metareg_pm.ado
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f m\metareg.hlp
|
|
|
e
|
|
|
S http://web.missouri.edu/~kolenikovs/stata
|
|
|
N cfa1.pkg
|
|
|
D 20 Mar 2009
|
|
|
U 24
|
|
|
d cfa1 -- a single factor confirmatory analysis model
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|
|
d
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|
d Author: Stas Kolenikov, kolenikovs@missouri.edu
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d
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|
d cfa1 fits the confirmatory analysis model by maximum likelihood.
|
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d The model is restricted to a single level single factor.
|
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|
f c\cfa1.ado
|
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|
f c\cfa1_lf.ado
|
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|
f c\cfa1.hlp
|
|
|
e
|
|
|
S http://fmwww.bc.edu/repec/bocode/i
|
|
|
N icc23.pkg
|
|
|
D 26 Mar 2009
|
|
|
U 25
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|
d 'ICC23': module that computes models 2 and 3 of the intra-class correlation
|
|
|
d
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|
d ICC23 computes the intra-class correlation for random effects
|
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|
d models 2 and 3, as described by Shrout and Fleiss, 1979.
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|
d (-loneway- computes model 1). The module uses Statas repeated
|
|
|
d measures ANOVA command to retrieve the appropriate estimates and
|
|
|
d degrees of freedom. Keywords: intra-class correlation, random
|
|
|
d effects model, mixed effects model
|
|
|
d
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|
d
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|
|
d Requires: Stata version 9
|
|
|
d
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|
|
d Distribution-Date: 20090325
|
|
|
d
|
|
|
d Author: Paul F. Visintainer, Baystate Health System
|
|
|
d Support: email visint46@@gmail.com
|
|
|
d
|
|
|
d Author: Luis C.Orozco, Facultad de Salud, Universidad Industrial de Santander, Colombia
|
|
|
d Support: email lcorovar@@gmail.com
|
|
|
d
|
|
|
f i\icc23.ado
|
|
|
f i\icc23.hlp
|
|
|
e
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|
|
S http://www.stata.com/stb/stb35
|
|
|
N sg65.pkg
|
|
|
D 26 Mar 2009
|
|
|
U 26
|
|
|
d STB-35 sg65. Computing intraclass correlations and large ANOVAs.
|
|
|
d STB insert by John R. Gleason, Syracuse University.
|
|
|
d Support: 73241.717@@compuserve.com
|
|
|
d After installation, see help ^l1way^ and help ^iclassr2^.
|
|
|
f i\iclassr.ado
|
|
|
f i\iclassr.hlp
|
|
|
f i\iclassr2.ado
|
|
|
f i\iclassr2.hlp
|
|
|
f l\l1way.ado
|
|
|
f l\l1way.hlp
|
|
|
e
|
|
|
S http://www.stata.com/stb/stb56
|
|
|
N sbe26_1.pkg
|
|
|
D 20 Apr 2009
|
|
|
U 27
|
|
|
d STB-56 sbe26_1. Update of metainf
|
|
|
d STB insert by Aurelio Tobias, Universidad Miguel Hernandez
|
|
|
d Alicante, Spain
|
|
|
d Support: bledatobias@@ctv.es
|
|
|
d After installation, see help ^metainf^
|
|
|
f h\hplot.ado
|
|
|
f h\hplot.hlp
|
|
|
f m\metainf.ado
|
|
|
f m\metainf.hlp
|
|
|
e
|
|
|
S http://www.stata.com/stb/stb61
|
|
|
N sbe19_4.pkg
|
|
|
D 20 Apr 2009
|
|
|
U 28
|
|
|
d STB-61 sbe19_4. Update to metabias to work under version 7
|
|
|
d STB insert by Thomas J. Steichen, RJRT
|
|
|
d Support: steicht@@rjrt.com
|
|
|
d After installation, see help ^metabias^
|
|
|
f m\metabias.ado
|
|
|
f m\metabias.hlp
|
|
|
e
|
|
|
S http://fmwww.bc.edu/repec/bocode/i
|
|
|
N imputeitems.pkg
|
|
|
D 5 May 2009
|
|
|
U 29
|
|
|
d 'IMPUTEITEMS': module to impute missing data of binary items
|
|
|
d
|
|
|
d imputeitems imputes missing responses to binary items by
|
|
|
d different ways: Item Mean Substitution (IMS), Person Mean
|
|
|
d Substitution (PMS), Corrected Item Mean Substiutution (CIM),
|
|
|
d Interitem Correlation Substitution (ICS), logistic model (LOG)
|
|
|
d and Worst Case (WORST).
|
|
|
d
|
|
|
d KW: Item Response Theory
|
|
|
d KW: Missing data
|
|
|
d KW: Imputation
|
|
|
d
|
|
|
d Requires: Stata version 9.0
|
|
|
d
|
|
|
d Distribution-Date: 20081211
|
|
|
d
|
|
|
d Author: Jean-Benoit Hardouin, University of Nantes, France
|
|
|
d Support: email jean-benoit.hardouin@@univ-nantes.fr
|
|
|
d
|
|
|
f i\imputeitems.ado
|
|
|
f i\imputeitems.hlp
|
|
|
e
|
|
|
S http://fmwww.bc.edu/repec/bocode/x
|
|
|
N xsampsi.pkg
|
|
|
D 16 Jul 2009
|
|
|
U 30
|
|
|
d 'XSAMPSI': module to calculate sample size for cross-over trials with continuous measures
|
|
|
d
|
|
|
d This program will compute the required sample size for a simple
|
|
|
d crossover trial, that is AB/BA, or two-period two-treatment
|
|
|
d cross-over. It will estimate the power for a given sample size,
|
|
|
d too.
|
|
|
d
|
|
|
d Author: Jan Brogger, University of Bergen, Norway
|
|
|
d Support: email jan.brogger@@med.uib.no
|
|
|
d
|
|
|
d Distribution-Date: 20020131
|
|
|
f x\xsampsi.ado
|
|
|
f x\xsampsi.hlp
|
|
|
e
|
|
|
S http://fmwww.bc.edu/repec/bocode/n
|
|
|
N nct.pkg
|
|
|
D 17 Jul 2009
|
|
|
U 31
|
|
|
d 'NCT': modules related to the noncentral t distribution
|
|
|
d
|
|
|
d nct is a package of programs, all related to the noncentral t
|
|
|
d distribution. Each one-sided program computes a missing
|
|
|
d parameter given the other parameters such that P(t<=t'| delta,
|
|
|
d df) = p. The two-sided programs yield two-sided values from a
|
|
|
d noncentral t, defined such that P(|t|<=t'| delta, df) = 1 - p.
|
|
|
d The programs are: nctprob -- Cumulative non-central t
|
|
|
d probabilities, p, nctinv -- Inverse cumulative non-central t
|
|
|
d values, t', nctncp -- Noncentrality parameter of the non-central
|
|
|
d t, delta, nctn -- Sample size for the cumulative non-central
|
|
|
d t, df + 1, nct2 -- 2-sided non-central t probabilities, p,
|
|
|
d and nct2inv -- Inverse 2-sided non-central t values, |t'|.
|
|
|
d
|
|
|
d Author: Thomas Steichen
|
|
|
d Support: email steichen@@triad.rr.com
|
|
|
d
|
|
|
d Distribution-Date: 20000609
|
|
|
f n\nct.ado
|
|
|
f n\nct.hlp
|
|
|
f n\nct2.ado
|
|
|
f n\nct2.hlp
|
|
|
f n\nct2inv.ado
|
|
|
f n\nct2inv.hlp
|
|
|
f n\nctinv.ado
|
|
|
f n\nctinv.hlp
|
|
|
f n\nctn.ado
|
|
|
f n\nctn.hlp
|
|
|
f n\nctncp.ado
|
|
|
f n\nctncp.hlp
|
|
|
f n\nctprob.ado
|
|
|
f n\nctprob.hlp
|
|
|
e
|
|
|
S http://fmwww.bc.edu/repec/bocode/t
|
|
|
N torumm.pkg
|
|
|
D 20 Jul 2009
|
|
|
U 32
|
|
|
d 'TORUMM': module to produce data in RUMM format
|
|
|
d
|
|
|
d torumm converts and formats Stata data into 3 files required to
|
|
|
d run RUMM 2010. RUMM 2010 (Rasch Unidimensional Measurement
|
|
|
d Models) is program for Rasch analysis. torumm will work with
|
|
|
d Stata 6 and Stata 7 data.
|
|
|
d
|
|
|
d Author: Fred Wolfe
|
|
|
d Support: email fwolfe@@arthritis-research.org
|
|
|
d
|
|
|
d Distribution-Date: 20000708
|
|
|
f t\torumm.ado
|
|
|
f t\torumm.hlp
|
|
|
e
|
|
|
S http://www.fss.uu.nl/soc/iscore/stata
|
|
|
N dropvars.pkg
|
|
|
D 20 Jul 2009
|
|
|
U 33
|
|
|
d ^dropvars^. drops all existing variables in a list.
|
|
|
d ^dropvars varlist^ is similar to ^drop varlist^, but warns if a
|
|
|
d variable does not exists, rather than aborts.
|
|
|
d
|
|
|
d Note that ^capture drop varlist^ either drops all variables or none.
|
|
|
d
|
|
|
d ^dropvars varlist^ is equivalent to
|
|
|
d
|
|
|
d for var varlist: capture drop X
|
|
|
d
|
|
|
d Author: Jeroen Weesie, Dept of Sociology, Utrecht University (NL)
|
|
|
d Support: email J.Weesie@@fss.uu.nl
|
|
|
f d\dropvars.ado
|
|
|
f d\dropvars.hlp
|
|
|
e
|
|
|
S http://fmwww.bc.edu/RePEc/bocode/l
|
|
|
N listutil.pkg
|
|
|
D 20 Jul 2009
|
|
|
U 34
|
|
|
d 'LISTUTIL': modules to manipulate lists of words
|
|
|
d
|
|
|
d These functions manipulate lists of words. For details, see the
|
|
|
d help file.
|
|
|
d
|
|
|
d Author: Nicholas J. Cox, University of Durham
|
|
|
d Support: email N.J.Cox@@durham.ac.uk
|
|
|
d
|
|
|
d Distribution-Date: 20010523
|
|
|
f a\alphlist.ado
|
|
|
f a\alphlist.hlp
|
|
|
f b\binolist.ado
|
|
|
f b\binolist.hlp
|
|
|
f b\bothlist.ado
|
|
|
f b\bothlist.hlp
|
|
|
f c\choplist.ado
|
|
|
f c\choplist.hlp
|
|
|
f c\collist.ado
|
|
|
f c\collist.hlp
|
|
|
f c\convlist.ado
|
|
|
f c\convlist.hlp
|
|
|
f c\cseplist.ado
|
|
|
f c\cseplist.hlp
|
|
|
f c\cvarlist.ado
|
|
|
f c\cvarlist.hlp
|
|
|
f d\dellist.ado
|
|
|
f d\dellist.hlp
|
|
|
f d\difflist.ado
|
|
|
f d\difflist.hlp
|
|
|
f e\eqlist.ado
|
|
|
f e\eqlist.hlp
|
|
|
f f\fmtlist.ado
|
|
|
f f\fmtlist.hlp
|
|
|
f i\inslist.ado
|
|
|
f i\inslist.hlp
|
|
|
f j\joinlist.ado
|
|
|
f j\joinlist.hlp
|
|
|
f l\lclist.ado
|
|
|
f l\lclist.hlp
|
|
|
f m\maplist.ado
|
|
|
f m\maplist.hlp
|
|
|
f m\mnthlist.ado
|
|
|
f m\mnthlist.hlp
|
|
|
f p\poslist.ado
|
|
|
f p\poslist.hlp
|
|
|
f p\postlist.ado
|
|
|
f p\postlist.hlp
|
|
|
f p\prelist.ado
|
|
|
f p\prelist.hlp
|
|
|
f p\prodlist.ado
|
|
|
f p\prodlist.hlp
|
|
|
f r\replist.ado
|
|
|
f r\replist.hlp
|
|
|
f r\revlist.ado
|
|
|
f r\revlist.hlp
|
|
|
f r\rotlist.ado
|
|
|
f r\rotlist.hlp
|
|
|
f s\sellist.ado
|
|
|
f s\sellist.hlp
|
|
|
f s\seqlist.ado
|
|
|
f s\seqlist.hlp
|
|
|
f s\sortlist.ado
|
|
|
f s\sortlist.hlp
|
|
|
f s\sublist.ado
|
|
|
f s\sublist.hlp
|
|
|
f s\sumlist.ado
|
|
|
f s\sumlist.hlp
|
|
|
f t\takelist.ado
|
|
|
f t\takelist.hlp
|
|
|
f t\trnclist.ado
|
|
|
f t\trnclist.hlp
|
|
|
f u\uclist.ado
|
|
|
f u\uclist.hlp
|
|
|
f u\uniqlist.ado
|
|
|
f u\uniqlist.hlp
|
|
|
f v\varflist.ado
|
|
|
f v\varflist.hlp
|
|
|
f v\vectlist.ado
|
|
|
f v\vectlist.hlp
|
|
|
f w\wclist.ado
|
|
|
f w\wclist.hlp
|
|
|
f x\xorlist.ado
|
|
|
f x\xorlist.hlp
|
|
|
f l\listutil.hlp
|
|
|
e
|
|
|
S http://www.fss.uu.nl/soc/iscore/stata
|
|
|
N listblck.pkg
|
|
|
D 20 Jul 2009
|
|
|
U 35
|
|
|
d ^listblck^. variant of ^list^ that "wraps variables".
|
|
|
d ^listblck^ is that wraps variables, not observations. Thus, ^listblck^
|
|
|
d displays as many variables as fit on the screen (listblck is ^display^
|
|
|
d ^linesize^ sensitive) for all selected obs, then it displays a second
|
|
|
d block of variables etc. This is especially useful if the number of
|
|
|
d observations to be listed is small. See ^listby^ as an application.
|
|
|
d
|
|
|
d Author: Jeroen Weesie, Dept of Sociology, Utrecht University (NL)
|
|
|
d Support: email J.Weesie@@fss.uu.nl
|
|
|
f l\listblck.ado
|
|
|
f l\listblck.hlp
|
|
|
e
|
|
|
S http://fmwww.bc.edu/repec/bocode/s
|
|
|
N saswrapper.pkg
|
|
|
D 22 Nov 2009
|
|
|
U 37
|
|
|
d 'SASWRAPPER': module to run a SAS program from within Stata
|
|
|
d
|
|
|
d saswrapper runs a SAS program in batch and prints the output in
|
|
|
d the Stata results window/log file. This usually occurs by
|
|
|
d specifying a SAS program file after using, but saswrapper can
|
|
|
d also run SAS code specified by the pre_sas_prog() and/or
|
|
|
d post_sas_prog() options. By default, saswrapper will save the
|
|
|
d current data in memory using savasas and make it available in
|
|
|
d SAS's WORK library. If that is not desired, use the nodata
|
|
|
d option. The usesas option tells saswrapper to load the last SAS
|
|
|
d dataset created in the WORK library by the submitted SAS program
|
|
|
d into Stata using the SAVASTATA SAS macro.
|
|
|
d
|
|
|
d KW: SAS
|
|
|
d KW: Stata
|
|
|
d
|
|
|
d Requires: Stata version 8.0
|
|
|
d
|
|
|
d Distribution-Date: 20090507
|
|
|
d
|
|
|
d Author: Dan Blanchette, Center of Entrepreneurship and Innovation, Duke University's Fuqua School of Business
|
|
|
d Support: email dan.blanchette@@duke.edu
|
|
|
d
|
|
|
f s\saswrapper.ado
|
|
|
f s\saswrapper.hlp
|
|
|
f u\usesas.ado
|
|
|
f u\usesas.hlp
|
|
|
f s\savasas.ado
|
|
|
f s\savasas.hlp
|
|
|
f u\usesasdel.ado
|
|
|
f s\sasexe.ado
|
|
|
f a\adoedit.ado
|
|
|
f a\adoedit.hlp
|
|
|
f t\tmpdir.ado
|
|
|
f t\tmpdir.hlp
|
|
|
f s\shortdir.ado
|
|
|
f s\shortdir.hlp
|
|
|
f c\confirmdir.ado
|
|
|
f c\confirmdir.hlp
|
|
|
e
|
|
|
S http://www.stata-journal.com/software/sj4-1
|
|
|
N st0057.pkg
|
|
|
D 26 Nov 2009
|
|
|
U 38
|
|
|
d SJ4-1 st0057. FIML estimation of an endogenous switching ...
|
|
|
d FIML estimation of an endogenous switching model for count data
|
|
|
d by Alfonso Miranda, Economics Department, Warwick University, UK
|
|
|
d Support: Alfonso.Miranda-Caso-Luengo@@warwick.ac.uk
|
|
|
d After installation, type help ^espoisson^
|
|
|
f e\espoisson.ado
|
|
|
f e\espoisson.hlp
|
|
|
f e\espoisson_ll.ado
|
|
|
f e\espoisson_p.ado
|
|
|
f e\exspoisson.ado
|
|
|
f e\exspoisson_ll.ado
|
|
|
f e\exspoisson_p.ado
|
|
|
f g\ghquad.ado
|
|
|
f h\hermite.ado
|
|
|
f x\xcolnames.ado
|
|
|
e
|
|
|
S http://fmwww.bc.edu/repec/bocode/e
|
|
|
N estout.pkg
|
|
|
D 5 Dec 2009
|
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U 39
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d 'ESTOUT': module to make regression tables
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d
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d estout produces a table of regression results from one or several
|
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d models for use with spreadsheets, LaTeX, HTML, or a
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d word-processor table. eststo stores a quick copy of the active
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|
d estimation results for later tabulation. esttab is a wrapper for
|
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|
d estout. It displays a pretty looking publication-style regression
|
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|
d table without much typing. estadd adds additional results to the
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d e()-returns for one or several models previously fitted and
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d stored. This package subsumes the previously circulated esto,
|
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|
d esta, estadd, and estadd_plus. An earlier version of estout is
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d available as estout1.
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d
|
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d KW: estimates
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|
d KW: LaTeX
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|
d KW: HTML
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|
d KW: word processor
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|
d KW: output
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d
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d Requires: Stata version 8.2
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d
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d Distribution-Date: 20091012
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d
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d Author: Ben Jann, ETH Zurich
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|
d Support: email ben.jann@@soz.gess.ethz.ch
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d
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f _\_eststo.ado
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f _\_eststo.hlp
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f e\estadd.ado
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f e\estadd.hlp
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f e\estout.ado
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f e\estout.hlp
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f e\eststo.ado
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f e\eststo.hlp
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f e\estpost.ado
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f e\estpost.hlp
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f e\esttab.ado
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f e\esttab.hlp
|
|
|
e
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|
S http://fmwww.bc.edu/repec/bocode/o
|
|
|
N outreg2.pkg
|
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|
D 5 Dec 2009
|
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|
U 40
|
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|
d 'OUTREG2': module to arrange regression outputs into an illustrative table
|
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|
d
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d outreg2 provides a fast and easy way to produce an illustrative
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|
d table of regression outputs. The regression outputs are produced
|
|
|
d piecemeal and are difficult to compare without some type of
|
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|
d rearrangement. outreg2 automates this process by concatenating
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|
d the successive regression ouputs in a vertical format. The
|
|
|
d resulting table is saved to the disk in ASCII format, which can
|
|
|
d be read by other programs. outreg2 thus facilitates the
|
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|
d convertion of regression outputs to a standard format suitable
|
|
|
d for inclusion in a scholarly publication. The functionality of
|
|
|
d outreg2 is based on the earlier package outreg, by John Luke
|
|
|
d Gallup. Unlike outreg, outreg2 is capable of writing LaTeX-format
|
|
|
d tables, as well as ASCII, MS Word and MS Excel.
|
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|
d
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d KW: regression
|
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|
d KW: output
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|
d KW: tables
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|
d KW: tab-delimited output
|
|
|
d KW: LaTeX
|
|
|
d KW: Word
|
|
|
d KW: Excel
|
|
|
d
|
|
|
d Requires: Stata version 7
|
|
|
d
|
|
|
d Distribution-Date: 20091118
|
|
|
d
|
|
|
d Author: Roy Wada
|
|
|
d Support: email roywada@@hotmail.com
|
|
|
d
|
|
|
f o\outreg2.ado
|
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|
f o\outreg2_prf.ado
|
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|
f o\outreg2.hlp
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f s\shellout.ado
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|
f s\shellout.hlp
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|
f s\seeout.ado
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|
f s\seeout.hlp
|
|
|
e
|
|
|
S http://fmwww.bc.edu/repec/bocode/r
|
|
|
N raschpower.pkg
|
|
|
D 27 Jan 2010
|
|
|
U 41
|
|
|
d 'RASCHPOWER': module to estimate power of the Wald test in order to compare the means of the latent trait in two groups of individuals
|
|
|
d
|
|
|
d raschpower allows estimating the power of the Wald test comparing
|
|
|
d the means of two groups of patients in the context of the Rasch
|
|
|
d model. The estimation is based on the estimation of the variance
|
|
|
d of the difference of the means based on the Cramer-Rao lower
|
|
|
d bound.
|
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|
d
|
|
|
d KW: Rasch test
|
|
|
d KW: power
|
|
|
d KW: Wald test
|
|
|
d
|
|
|
d Requires: Stata version 11
|
|
|
d
|
|
|
d Distribution-Date: 20100126
|
|
|
d
|
|
|
d Author: Jean-Benoit Hardouin , University of Nantes, France
|
|
|
d Support: email jean-benoit.hardouin@@univ-nantes.fr
|
|
|
d
|
|
|
f r\raschpower.ado
|
|
|
f r\raschpower.hlp
|
|
|
e
|
|
|
S http://www.stata-journal.com/production
|
|
|
N sjlatex.pkg
|
|
|
D 24 Feb 2010
|
|
|
U 42
|
|
|
d sjlatex: LaTeX files for the Stata Journal
|
|
|
d ^sjlatex^ contains the LaTeX document class and packages for the
|
|
|
d Stata Journal.
|
|
|
d
|
|
|
d The ancillary files should be installed using the ^sjlatex^ command
|
|
|
d from within Stata.
|
|
|
d
|
|
|
d Distribution-Date: 18feb2010
|
|
|
f s\sjlatex.ado
|
|
|
f s\sjlatex.hlp
|
|
|
f s\sjlog_7.ado
|
|
|
f s\sjlog.ado
|
|
|
f s\sjlog.hlp
|
|
|
e
|
|
|
S http://fmwww.bc.edu/repec/bocode/c
|
|
|
N checkfor2.pkg
|
|
|
D 11 Apr 2010
|
|
|
U 43
|
|
|
d 'CHECKFOR2': module to check whether a variable exists or not in a dataset
|
|
|
d
|
|
|
d checkfor2 is a routine to check for existence of a list of
|
|
|
d variables within a (usually big) data set. checkfor2 searchs
|
|
|
d through the data whether the variable exists.
|
|
|
d
|
|
|
d KW: data management
|
|
|
d
|
|
|
d Requires: Stata version 8
|
|
|
d
|
|
|
d Distribution-Date: 20050926
|
|
|
d
|
|
|
d Author: Amadou Bassirou Diallo, AFTPM, The World Bank
|
|
|
d Support: email adiallo5@@worldbank.org
|
|
|
d
|
|
|
d Author: Jean-Benoit Hardouin , University of Nantes, France
|
|
|
d Support: email jean-benoit.hardouin@@univ-nantes.fr
|
|
|
d
|
|
|
f c\checkfor2.ado
|
|
|
f c\checkfor2.hlp
|
|
|
f i\isvar.ado
|
|
|
f i\isvar.hlp
|
|
|
e
|
|
|
S http://www.stata.com/stb/stb46
|
|
|
N gr33.pkg
|
|
|
D 6 May 2010
|
|
|
U 44
|
|
|
d STB-46 gr33. Violin plots.
|
|
|
d STB insert by Thomas J. Steichen, RJRT.
|
|
|
d Support: steicht@@rjrt.com
|
|
|
d After installation, see help ^violin^.
|
|
|
f v\violin.ado
|
|
|
f v\violin.hlp
|
|
|
e
|
|
|
S http://www.stata.com/stb/stb47
|
|
|
N sg103.pkg
|
|
|
D 31 May 2010
|
|
|
U 45
|
|
|
d STB-47 sg103. Within subjects (repeated measures) ANOVA, between subj.
|
|
|
d STB insert by John R. Gleason, Syracuse University.
|
|
|
d Support: loeslrg@@ican.net
|
|
|
d After installation, see help ^wsanova^.
|
|
|
f w\wsanova.ado
|
|
|
f w\wsanova.hlp
|
|
|
e
|
|
|
S http://www.stata-journal.com/software/sj9-3
|
|
|
N st0169.pkg
|
|
|
D 7 Jun 2010
|
|
|
U 46
|
|
|
d SJ9-3 st0169. Confirmatory factor analysis
|
|
|
d Confirmatory factor analysis
|
|
|
d by Stanislav Kolenikov, University of Missouri, Columbia, USA
|
|
|
d Support: kolenikovs@@missouri.edu, skolenik@@gmail.com
|
|
|
d After installation, type help ^confa^
|
|
|
f c\confa.ado
|
|
|
f c\confa.sthlp
|
|
|
f c\confa_lf.ado
|
|
|
f c\confa_lfm.ado
|
|
|
f c\confa.mata
|
|
|
f c\confa_p.ado
|
|
|
f c\confa_estat.ado
|
|
|
f c\confa_estat.sthlp
|
|
|
f b\bollenstine.ado
|
|
|
f b\bollenstine.sthlp
|
|
|
f l\lconfa.mlib
|
|
|
e
|
|
|
S http://www.stata.com/stb/stb55
|
|
|
N sbe33.pkg
|
|
|
D 25 May 2011
|
|
|
U 47
|
|
|
d STB-55 sbe33. Comparing several methods of measuring the same quantity
|
|
|
d STB insert by Paul Seed, GKT School of Medicine, King's London, UK
|
|
|
d Support: paul.seed@@kcl.ac.uk
|
|
|
d After installation, see help ^baplot^, help ^sdpair^, help ^bamat^,
|
|
|
d help ^bagroup^
|
|
|
f b\bagroup.ado
|
|
|
f b\bagroup.hlp
|
|
|
f b\bamat.ado
|
|
|
f b\bamat.hlp
|
|
|
f b\baplot.ado
|
|
|
f b\baplot.hlp
|
|
|
f n\nicenum.ado
|
|
|
f s\sdpair.ado
|
|
|
f s\sdpair.hlp
|
|
|
e
|
|
|
S http://fmwww.bc.edu/repec/bocode/l
|
|
|
N log2html.pkg
|
|
|
D 11 Oct 2012
|
|
|
U 49
|
|
|
d 'LOG2HTML': module to produce HTML log files
|
|
|
d
|
|
|
d log2html translates translates Stata's standard SMCL log files to
|
|
|
d HTML, the language used for web pages. log2html provides greater
|
|
|
d formatting flexibility than the built-in but undocumented log
|
|
|
d html, providing preformatted schemes and support for CSS
|
|
|
d (Cascading Style Sheets). Stata 8 is required. (log2html7 is
|
|
|
d available for Stata 7.)
|
|
|
d
|
|
|
d KW: log
|
|
|
d KW: web
|
|
|
d KW: html
|
|
|
d KW: translate
|
|
|
d KW: SMCL
|
|
|
d KW: CSS
|
|
|
d
|
|
|
d Requires: Stata version 8.0 (7.0 for log2html7)
|
|
|
d
|
|
|
d
|
|
|
d Author: Christopher F Baum, Boston College
|
|
|
d Support: email baum@@bc.edu
|
|
|
d
|
|
|
d Author: Nicholas J. Cox, Durham University
|
|
|
d Support: email N.J.Cox@@durham.ac.uk
|
|
|
d
|
|
|
d Author: Bill Rising, StataCorp
|
|
|
d Support: email brising@@stata.com
|
|
|
d
|
|
|
d Distribution-Date: 20080731
|
|
|
f l\log2html.ado
|
|
|
f l\log2html.hlp
|
|
|
f l\log2html7.ado
|
|
|
f l\log2html7.hlp
|
|
|
e
|
|
|
S http://fmwww.bc.edu/repec/bocode/l
|
|
|
N logout.pkg
|
|
|
D 11 Oct 2012
|
|
|
U 50
|
|
|
d 'LOGOUT': module to convert log or ASCII files into various output formats
|
|
|
d
|
|
|
d logout provides a fast and easy way to convert log or ASCII files
|
|
|
d into various output formats compatible with Word, Excel, LaTeX,
|
|
|
d or Stata datafile. Can be used as a prefix or by itself after a
|
|
|
d log file has been created. caplog provides a fast and easy way to
|
|
|
d capture text-based log file, possibly for use with logout or
|
|
|
d dataout.
|
|
|
d
|
|
|
d KW: log file
|
|
|
d KW: table
|
|
|
d KW: tab
|
|
|
d KW: summary
|
|
|
d KW: output
|
|
|
d KW: LaTeX
|
|
|
d KW: Word
|
|
|
d KW: Excel
|
|
|
d KW: dataout
|
|
|
d
|
|
|
d Requires: Stata version 7.0
|
|
|
d
|
|
|
d Distribution-Date: 20091106
|
|
|
d
|
|
|
d Author: Roy Wada
|
|
|
d Support: email roywada@@hotmail.com
|
|
|
d
|
|
|
f l\logout.ado
|
|
|
f l\logout.hlp
|
|
|
f c\caplog.ado
|
|
|
f c\caplog.hlp
|
|
|
e
|
|
|
S http://fmwww.bc.edu/repec/bocode/g
|
|
|
N gllamm.pkg
|
|
|
D 19 Nov 2012
|
|
|
U 51
|
|
|
d 'GLLAMM': program to fit generalised linear latent and mixed models
|
|
|
d
|
|
|
d gllamm fits generalized linear latent and mixed models. These
|
|
|
d models include Multilevel generalized linear regression models
|
|
|
d (extensions of the simple random intercept models that may be
|
|
|
d fitted in Stata using xtreg, xtlogit, xtpois to include
|
|
|
d multilevel and random coefficient models), Multilevel factor
|
|
|
d models and Multilevel structural equation models. The latent
|
|
|
d variables (or random effects) can be assumed to have a
|
|
|
d multivariate normal distribution or to be discrete allowing
|
|
|
d nonparametric maximum likelihood estimation. The common links and
|
|
|
d families of generalized linear models are available and responses
|
|
|
d can be of mixed type including continuous, censored, discrete,
|
|
|
d dichotomous, ordered categorical and unordered categorical. The
|
|
|
d version of gllamm (gllamm6) described in STB-53, (sg129, p47-57)
|
|
|
d does not incorporate many of the features outlined above. This is
|
|
|
d version 2.3.20 of the software (Sep 2011). A manual in PDF form
|
|
|
d is available from the SSC archive via web browser.
|
|
|
d
|
|
|
d KW: multilevel models
|
|
|
d KW: mixed models
|
|
|
d KW: random coefficients
|
|
|
d KW: latent variable models
|
|
|
d
|
|
|
d Requires: Stata version 7.0
|
|
|
d
|
|
|
d
|
|
|
d Author: Sophia Rabe-Hesketh, University of California - Berkeley
|
|
|
d Support: email sophiarh@@berkeley.edu
|
|
|
d
|
|
|
d Distribution-Date: 20110911
|
|
|
d
|
|
|
f g\gllamm.ado
|
|
|
f g\gllamm.hlp
|
|
|
f e\eq_g.hlp
|
|
|
f g\gllam_ll.ado
|
|
|
f g\gllapred.ado
|
|
|
f g\gllapred.hlp
|
|
|
f g\gllarob.ado
|
|
|
f g\gllasim.ado
|
|
|
f g\gllasim.hlp
|
|
|
f g\gllas_yu.ado
|
|
|
f r\remcor.ado
|
|
|
e
|
|
|
S http://fmwww.bc.edu/repec/bocode/h
|
|
|
N hotdeck.pkg
|
|
|
D 30 Jan 2013
|
|
|
U 52
|
|
|
d 'HOTDECK': module to impute missing values using the hotdeck method
|
|
|
d
|
|
|
d hotdeck replaces missing values for the variable indicated by its
|
|
|
d argument. It should be used within a multiple imputation
|
|
|
d sequence since missing values are imputed stochastically rather
|
|
|
d than deterministically. The nmiss missing values in each stratum
|
|
|
d of the data described by the `by' option are replaced by values
|
|
|
d sampled from the nobs observed values in the same stratum. The
|
|
|
d approximate Bayesian bootstrap method of Rubin and Scheker is
|
|
|
d used; first a bootstrap sample of nobs observations is sampled
|
|
|
d with replacement from the observed values, and the nmiss missing
|
|
|
d values are sampled at random (again with replacement) from this
|
|
|
d bootstrap sample. If a file is specified in a using clause, the
|
|
|
d modified file is written to disk and the existing data in memory
|
|
|
d are unchanged. Otherwise the data in memory are modified. This is
|
|
|
d version 1.65 of the software, requiring Stata v9. hotdeck6 may be
|
|
|
d used in earlier versions of Stata.
|
|
|
d
|
|
|
d Author: Adrian Mander, MRC Biostatistics Unit
|
|
|
d Support: email Adrian.Mander@@mrc-hnr.cam.ac.uk
|
|
|
d
|
|
|
d Author: David Clayton
|
|
|
d Support: email david.clayton@@mrc-bsu.cam.ac.uk
|
|
|
d
|
|
|
d Distribution-Date: 20070902
|
|
|
f h\hotdeck.ado
|
|
|
f h\hotdeck.hlp
|
|
|
f h\hotdeck6.ado
|
|
|
f h\hotdeck6.hlp
|
|
|
e
|
|
|
S http://fmwww.bc.edu/repec/bocode/f
|
|
|
N fitstat_ers.pkg
|
|
|
D 6 May 2013
|
|
|
U 53
|
|
|
d 'FITSTAT_ERS': module to compute goodness of fit statistics for Rasch model
|
|
|
d
|
|
|
d fitstat_ers computes outfit and infit statistics for the
|
|
|
d conditional maximum likelihood (cml) Rasch model, using formulas
|
|
|
d outlined in the Linacre and Wright (1994). These fit statistics
|
|
|
d differ from those computed by the –raschtest-, which are
|
|
|
d normalized to be approximately normal random variates. These
|
|
|
d statistics are not normalized.
|
|
|
d
|
|
|
d KW: Rasch model
|
|
|
d KW: goodness of fit
|
|
|
d
|
|
|
d Requires: Stata version 9 and gammasym (q.v.) To output tables of statistics, xml_tab.ado and/or outtable.ado are required.
|
|
|
d
|
|
|
d Distribution-Date: 20111222
|
|
|
d
|
|
|
d Author: Christian Gregory, Economic Research Service, USDA
|
|
|
d Support: email cgregory@@ers.usda.gov
|
|
|
d
|
|
|
f f\fitstat_ers.ado
|
|
|
f f\fitstat_ers.hlp
|
|
|
e
|
|
|
S http://fmwww.bc.edu/repec/bocode/x
|
|
|
N xml_tab.pkg
|
|
|
D 6 May 2013
|
|
|
U 54
|
|
|
d 'XML_TAB': module to save results in Excel XML format
|
|
|
d
|
|
|
d xml_tab saves Stata output directly into XML file that could be
|
|
|
d opened with Microsoft Excel or OpenOffice Calc. The program is
|
|
|
d relatively flexible and produces print-ready tables in Excel or
|
|
|
d Calc. xml_tab allows users to apply different formats to the
|
|
|
d elements of the output table and essentially do everything MS
|
|
|
d Excel or OO Calc can do in terms of formatting from within Stata. d
|
|
|
d KW: XML
|
|
|
d KW: results
|
|
|
d KW: output
|
|
|
d KW: Excel
|
|
|
d
|
|
|
d Requires: Stata version 8 and MS Excel (EN) 2002 for Windows, MS Excel 2004 for Mac, or OpenOffice Calc
|
|
|
d
|
|
|
d Distribution-Date: 20080625
|
|
|
d
|
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d Author: Michael Lokshin, World Bank
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d Support: email Mlokshin@@worldbank.org
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d
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d Author: Zurab Sajaia, World Bank
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d Support: email
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d
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f x\xml_tab.ado
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f x\xml_tab.hlp
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e
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S http://fmwww.bc.edu/repec/bocode/g
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N gengroup.pkg
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D 6 May 2013
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U 55
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d 'GENGROUP': module to produce groups of individuals
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d
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d gengroup creates groups of individuals by using the values of an
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d ordinal variable. The module creates groups of individuals by
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d recoding several adjacent values of the ordinal variable, until
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d obtaining groups with more than individuals than the number
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d defined in the minsize option.
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d
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d KW: data management
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d KW: groups
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d KW: ordinal
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d
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d Requires: Stata version 7.0
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d
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d Distribution-Date: 20101208
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d
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d Author: Jean-Benoit Hardouin, University of Nantes, France
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d Support: email jean-benoit.hardouin@@univ-nantes.fr
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d
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f g\gengroup.ado
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f g\gengroup.hlp
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e
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S http://fmwww.bc.edu/RePEc/bocode/b
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N batplot.pkg
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D 18 Sep 2013
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U 56
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d 'BATPLOT': module to produce Bland-Altman plots accounting for trend
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d
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d The normal Bland-Altman plot is between the difference of paired
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d variables versus their average. This version uses a regression
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d between the difference and the average and then alters the
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d limits of agreement accordingly. This is particularly useful
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d when the two variables might be measured on different scales and
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d hence a straight conversion factor would recalibrate the two
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d variables.
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d
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d KW: plot
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d KW: Bland-Altman
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d KW: difference
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d KW: paired variables
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d
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d Requires: Stata version 9.2
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d
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d Distribution-Date: 20120617
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d
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d Author: Adrian Mander
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d Support: email Adrian.Mander@@mrc-hnr.cam.ac.uk
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d
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f b\batplot.ado
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f b\batplot.hlp
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e
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S http://www.indiana.edu/~jslsoc/stata
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N spost9_ado.pkg
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D 18 Oct 2013
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U 57
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d spost9_ado | Stata 9-13 commands for the post-estimation interpretation
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d Distribution-date: 05Aug2013
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d of regression models. Use package spostado.pkg for Stata 8.
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d Based on Long & Freese - Regression Models for Categorical Dependent
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d Variables Using Stata. Second Edition.
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d Support www.indiana.edu/~jslsoc/spost.htm
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d Scott Long & Jeremy Freese (spostsup@@indiana.edu)
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f _\_get_mlogit_bv.ado
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f _\_get_mlogit_bvecv.ado
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f _\_peabbv.ado
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f _\_pebase.ado
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f _\_pebase.hlp
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f _\_pecats.ado
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f _\_pecats.hlp
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f _\_peciboot.ado
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f _\_peciboot.hlp
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f _\_pecidelta.ado
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f _\_pecidelta.hlp
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f _\_peciml.ado
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f _\_pecmdcheck.ado
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f _\_pecollect.ado
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f _\_pecollect.hlp
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f _\_pedum.ado
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f _\_pedum.hlp
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f _\_peife.ado
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f _\_peife.hlp
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f _\_pemarg.ado
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f _\_pemarg.hlp
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f _\_penocon.ado
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f _\_penocon.hlp
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f _\_pepred.ado
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f _\_pepred.hlp
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f _\_perhs.ado
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f _\_perhs.hlp
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f _\_pesum.ado
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f _\_pesum.hlp
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f _\_petrap.ado
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f _\_petrap.hlp
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f _\_peunvec.ado
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f _\_peunvec.hlp
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f _\_pexstring.ado
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f a\asprvalue.ado
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f a\asprvalue.hlp
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f b\brant.ado
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f b\brant.hlp
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f c\case2alt.ado
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f c\case2alt.hlp
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f c\countfit.ado
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f c\countfit.hlp
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f f\fitstat.ado
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f f\fitstat.hlp
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f l\leastlikely.ado
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f l\leastlikely.hlp
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f l\listcoef.ado
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f l\listcoef.hlp
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f m\misschk.ado
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f m\misschk.sthlp
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f m\mlogplot.ado
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f m\mlogplot.hlp
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f m\mlogtest.ado
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f m\mlogtest.sthlp
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f m\mlogview.ado
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f m\mlogview.hlp
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f m\mvtab1.ado
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f m\mvtab1.hlp
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f n\nmlab.ado
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f n\nmlab.hlp
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f p\praccum.ado
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f p\praccum.hlp
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f p\prchange.ado
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f p\prchange.hlp
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f p\prcounts.ado
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f p\prcounts.hlp
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f p\prdc.ado
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f p\prdc.hlp
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f p\prgen.ado
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f p\prgen.hlp
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f p\prtab.ado
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f p\prtab.hlp
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f p\prvalue.ado
|
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f p\prvalue.hlp
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f p\prwhich.ado
|
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f s\spex.ado
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f s\spex.hlp
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f s\spost.hlp
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f s\spost_footer.ihlp
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f s\spostupdate.ado
|
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f v\vardesc.ado
|
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f v\vardesc.hlp
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f x\xpost.ado
|
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|
e
|
|
|
S http://www.andrew.cmu.edu/user/bjones/traj
|
|
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N traj.pkg
|
|
|
D 6 Dec 2013
|
|
|
U 58
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|
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d traj. Group-Based Modeling of Longitudinal Data
|
|
|
d
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|
d {bf: Bobby L. Jones, University of Pittsburgh Medical Center}
|
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d
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d {bf: Daniel S. Nagin, Carnegie Mellon University}
|
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d
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d
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d Support: bjones@andrew.cmu.edu
|
|
|
f t\traj.plugin
|
|
|
f t\traj.ado
|
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f t\trajplot.ado
|
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f t\traj.hlp
|
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f t\trajplot.hlp
|
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e
|