* 00000058
*! version 1.0.0
* Do not erase or edit this file
* It is used by Stata to track the ado and help
* files you have installed.

S http://www.unc.edu/~skolenik/stata
N polychoric.pkg
D 15 Dec 2006
U 1
d polychoric -- The polychoric correlation package
d 
d Author: Stas Kolenikov, skolenik@unc.edu
d 
d This package provides routines to estimate
d the polychoric, tetrachoric, polyserial and biserial
d correlations and use them in principal component analysis.
d Current version: 1.4
f p\polychoric.ado
f p\polychoricpca.ado
f p\polych_ll.ado
f p\polyser_ll.ado
f p\polychoric.hlp
f p\polychoricpca.hlp
e
S http://www.stata.com/stb/stb61
N sg158_1.pkg
D  5 Mar 2007
U 3
d STB-61 sg158_1.  Update to random-effects ordered probit
d STB insert by Guillaume R. Frechette, Ohio State University
d Support:  gurst1@@econ.ohio-state.edu
d After installation, see help ^reoprob^
f g\ghquadm.ado
f g\ghquadm.hlp
f r\reop_ll.ado
f r\reopc_ll.ado
f r\reoprob.ado
f r\reoprob.hlp
f r\rfpr_ll1.ado
f r\rfprobit.ado
f r\rfprobit.hlp
e
S http://www.stata-journal.com/software/sj5-4
N st0067_2.pkg
D  5 Jun 2007
U 4
d SJ5-4 st0067_2.  Update:  Multiple imputation of missing...
d Update:  Multiple imputation of missing values
d by Patrick Royston, MRC Clinical Trials Unit, London, UK
d Support:  patrick.royston@@ctu.mrc.ac.uk
d After installation, type help ^ice^, ^micombine^, and ^mijoin^
f i\ice.ado
f i\ice.hlp
f m\micombine.ado
f m\micombine.hlp
f m\mijoin.ado
f m\mijoin.hlp
f m\misplit.ado
f m\misplit.hlp
f u\uvis.ado
f u\uvis.hlp
f c\cmdchk.ado
e
S http://fmwww.bc.edu/repec/bocode/m
N metaninf.pkg
D 10 Jan 2008
U 7
d 'METANINF': module to evaluate influence of a single study in meta-analysis estimation
d 
d metaninf investigates the influence of each individual study on
d the overall meta-analysis summary estimate. The command presents
d a table and a graph of the results of an influence analysis in
d which the meta-analysis is reestimated omitting each study in
d turn. metaninf is a parallel program to metainf (Aurelio  Tobias;
d STB-47: sbe26; STB-56: sbe26.1) that uses metan (rather than
d meta) as  its calculation engine, thus allowing access to the
d additional meta-analytic models offered therein.  metaninf also
d differs from metainf in that metaninf uses metan's syntax and a
d subset of its options (rather than those of meta). Program mhplot
d (a variation of Nicholas Cox's hplot) is a required support
d program.  This version (1.0.2) allows the jackknifed estimates to
d be saved.  A Stata 8 dialog is included.
d 
d Distribution-Date: 20010619
d 
d Author: Thomas Steichen
d Support: email steichen@@triad.rr.com
d 
f m\metaninf.ado
f m\metaninf.hlp
f m\mhplot.ado
f m\metaninf.dlg
e
S http://fmwww.bc.edu/repec/bocode/m
N metafunnel.pkg
D  2 Apr 2008
U 8
d 'METAFUNNEL': module to produce funnel plots for meta-analysis
d 
d    metafunnel plots funnel plots. These graphical displays are
d used to examine whether the results of a meta-analysis may have
d been affected by publication or other types of bias.
d 
d Distribution-Date: 20030827
d 
d Author: Jonathan Sterne, University of Bristol
d Support: email jonathan.sterne@@bristol.ac.uk
d 
f m\metafunnel.ado
f m\metafunnel.hlp
f m\metafunnel.dlg
e
S http://fmwww.bc.edu/repec/bocode/m
N metabias.pkg
D  2 Apr 2008
U 9
d 'METABIAS': module to test for publication bias in meta-analysis
d 
d metabias performs the Begg and Mazumdar adjusted rank correlation
d test for publication bias and performs the Egger et al.
d regression asymmetry test for publication bias. As options, it
d provides a funnel graph of the data or the regression asymmetry
d plot.  This is version 1.2.4 of the software. This version has
d been modified to run correctly under Stata Version 7 and later
d (though it remains a version 6 program) and fixes a bug in the
d stratified Egger p-value.
d 
d Author: Thomas Steichen
d Support: email  steichen@@triad.rr.com
d 
d Distribution-Date: 20040409
f m\metabias.ado
f m\metabias.hlp
f m\metabias.dlg
e
S http://www.stata.com/stb/stb56
N sbe20_1.pkg
D  2 Apr 2008
U 10
d STB-56 sbe20_1.  Update of galbr
d STB insert by Aurelio Tobias, Universidad Miguel Hernandez
d               Alicante, Spain
d Support:   bledatobias@@ctv.es
d After installation, see help ^galbr^
f g\galbr.ado
f g\galbr.hlp
e
S http://fmwww.bc.edu/repec/bocode/l
N loevh.pkg
D  6 Nov 2008
U 11
d 'LOEVH': module to compute Guttman errors and Loevinger H coefficients
d 
d LoevH computes the Loevinger H coefficients and the Guttman
d errors  (observed and expected) for each pair of items, between
d one given item and all the  others of a scale or among all the
d possible pairs of items of a scale.
d 
d KW: Loevinger H coefficients
d KW: Guttman errors
d KW: scale validation
d 
d Requires: Stata version 7
d 
d Distribution-Date: 20070621
d 
d Author: Jean-Benoit Hardouin, University of Nantes, France
d Support: email jean-benoit.hardouin@@univ-nantes.fr
d 
f l\loevh.ado
f l\loevh.hlp
f a\anaoption.ado
f t\traces.ado
f t\traces.hlp
f g\gengroup.ado
f g\gengroup.hlp
e
S http://fmwww.bc.edu/repec/bocode/d
N delta.pkg
D 24 Nov 2008
U 13
d 'DELTA': module  to compute the Delta index of scale discrimination
d 
d  delta computes the generalized delta index of scale
d discrimination developed by  Hankins (2007) based on the original
d work of Ferguson (1949). This index measures the scale's
d ability to  distinguish between individuals. A value of 1
d indicates that the test  has maximal discrimination (all
d possible scores occur with the same  frequency) and a value of 0
d means  that the test has minimal  discrimination (all the
d respondents have the same score).  A value of  0.9 results from a
d set of scores that is normally distributed. A  value of  1 is
d observed if the scores follow a uniform distribution. Individuals
d with a missing  score are omitted.
d 
d KW: delta index
d KW: psychometrics
d KW: Cronbach alpha
d KW: discrimination
d 
d Requires: Stata version 7
d 
d Distribution-Date: 20080312
d 
d Author: Jean-Benoit Hardouin , University of Nantes, France
d Support: email jean-benoit.hardouin@@univ-nantes.fr
d 
f d\delta.ado
f d\delta.hlp
e
S http://fmwww.bc.edu/repec/bocode/m
N metan.pkg
D  3 Dec 2008
U 15
d 'METAN': module for fixed and random effects meta-analysis
d 
d These routines provide facilities to conduct meta-analyses of
d data from more than one study and to graph the results. Either
d binary (event) or continuous data from two groups may be combined
d using the metan command. Additionally, intervention effect
d estimates with corresponding standard errors or confidence
d intervals may be meta-analysed. Recently added facilities include
d by() processing and an update to Stata 9 graphics. This is an
d updated version of metan as published in STB-44, authored by
d Michael J Bradburn, Jonathan J Deeks, Douglas G Altman. The
d package includes a command to produce funnel plots to assess
d small study effects, and L'Abbe plots to examine whether the
d assumption of a common odds ratio, risk ratio or risk difference
d is reasonable. Also included is the metannt program for binary
d data, which displays estimated intervention effects in terms of
d the absolute reduction in risk and number needed to treat. A
d description of available Stata meta-analysis commands may be
d found at  http://www.stata.com/support/faqs/stat/meta.html.
d 
d KW: meta-analysis
d KW: fixed effects
d KW: random effects
d KW: forest plot
d KW: l'Abbe plot
d 
d Requires: Stata version 9 (version 7 for metan7)
d 
d Distribution-Date: 20081117
d 
d Author: Ross Harris, Department of Social Medicine, University of Bristol
d Support: email ross.harris@@bristol.ac.uk
d 
d Author: Mike Bradburn, Centre for Statistics in Medicine, University of Oxford
d Support: email
d 
d Author: Jon Deeks, Centre for Statistics in Medicine, University of Oxford
d Support: email
d 
d Author: Roger Harbord, Department of Social Medicine, University of Bristol
d Support: email
d 
d Author: Doug Altman, Centre for Statistics in Medicine, University of Oxford
d Support: email
d 
d Author: Thomas Steichen, RJRT
d Support: email
d 
d Author: Jonathan Sterne, Department of Social Medicine, University of Bristol
d Support: email
d 
f m\metan.ado
f m\metan.hlp
f l\labbe.ado
f l\labbe.hlp
f l\labbe.dlg
f m\metan7.ado
f m\metan7.hlp
f m\metan7.dlg
f m\metannt.ado
f m\metannt.hlp
f m\metannt.dlg
f i\i2ci.ado
f m\metan_examples.ado
e
S http://fmwww.bc.edu/repec/bocode/m
N msp.pkg
D 11 Dec 2008
U 16
d 'MSP': module to perform the Mokken Scale Procedure
d 
d MSP implements the Mokken Scale Procedure defined by Hemker,
d Sijtsma and Molenaar (1995). This procedure construct sub-scales
d based  on Loevinger H coefficients computed by LoevH (q.v.). The
d results  depend of a threshold "c" fixed by the user : the
d authors of the procedure  recommend to use a c exceeding 0.3. The
d kernel of the first sub-scale can be fixed.
d 
d KW: Mokken Scale Procedure
d KW: MSP
d KW: Loevinger H coefficients
d KW: scale construction
d 
d Requires: Stata version 7
d 
d Distribution-Date: 20081108
d 
d Author: Jean-Benoit Hardouin, University of Nantes, France
d Support: email jean-benoit.hardouin@@univ-nantes.fr
d 
f m\msp.ado
f m\msp.hlp
f l\loevh.ado
f l\loevh.hlp
e
S http://fmwww.bc.edu/repec/bocode/c
N clv.pkg
D 11 Dec 2008
U 17
d 'CLV': module to implement a clustering of variables around latent components
d 
d clv clusters variables around latent components. The variables
d are  clustered by searching to minimize at each step the
d decreasing of the T criterion  computed as the sum of the first
d eigenvalues of the matrices of data of all the  clusters. A
d hierarchical cluster analysis based on this criterion is
d realized.  A consolidation procedure can be run in a second time,
d which allows assigning  each variable to the more correlated
d latent components. The procedure is  described by Vigneau and
d Qannari (Communications in Statistics - Simulation and
d Computation, 2003).
d 
d KW:  Clustering around latent components
d KW: Varclus
d KW: CLV
d KW: unidimensionality
d 
d Requires: Stata version 8.0
d 
d Distribution-Date: 20061014
d 
d Author: Jean-Benoit Hardouin , University of Nantes, France
d Support: email jean-benoit.hardouin@@univ-nantes.fr
d 
f c\clv.ado
f c\clv.hlp
e
S http://fmwww.bc.edu/repec/bocode/s
N simirt.pkg
D 11 Dec 2008
U 18
d 'SIMIRT': module to process data generated by IRT models
d 
d simirt allows creating a new dataset of  responses to items
d simulated  by an unidimensional IRT model. The model can be
d dichotomous (Rasch, OPLM,  Birnbaum, 3PLM, 4PLM, 5PAM) or
d polytomous (Rating Scale Model-RSM). It is possible  to simulate
d two sets of items linked, for each of them, to a specific latent
d trait (which can be correlated). The Items Characteristic Curves
d can be drawn.
d 
d KW: simulation
d KW: Rasch model
d KW: Birnbaum model
d KW: OPLM
d KW: ICC
d KW: Rating Scale Model
d 
d Requires: Stata version 8
d 
d Distribution-Date: 20061022
d 
d Author: Jean-Benoit Hardouin, University of Nantes, France
d Support: email jean-benoit.hardouin@@univ-nantes.fr
d 
f s\simirt.ado
f s\simirt.hlp
e
S http://fmwww.bc.edu/repec/bocode/e
N elapse.pkg
D 11 Dec 2008
U 19
d 'ELAPSE': module to calculate elapsed time in procedure
d 
d Elapse displays a string with the name of the operation,  if
d specified, and the time elapsed between start_time and current
d time.
d 
d Author: Fred Zimmerman, Stanford University
d Support: email zimmer@@leland.Stanford.EDU
d 
d Distribution-Date: 20031221
f e\elapse.ado
f e\elapse.hlp
e
S http://fmwww.bc.edu/RePEc/bocode/i
N iccconf.pkg
D  5 Feb 2009
U 20
d 'ICCCONF': module to compute a confidence interval for an intraclass correlation (ICC)
d 
d iccconf is an immediate command that computes a confidence
d interval for a single intraclass correlation (ICC).  The
d procedure is based on Rosner's approach using the F-test.
d 
d KW: intra-class correlation
d KW: confidence interval
d 
d Requires: Stata version 8
d 
d Distribution-Date: 20081119
d 
d Author: Paul F. Visintainer, Baystate Health System
d Support: email visint46@@gmail.com
d 
f i\iccconf.ado
f i\iccconf.hlp
e
S http://www.stata-journal.com/software/sj4-2
N pr0012.pkg
D 24 Feb 2009
U 22
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
f f\funnel.dlg
f g\galbr.dlg
f l\labbe.dlg
f m\metabias.dlg
f m\metacum.dlg
f m\meta.dlg
f m\metafunnel.dlg
f m\metainf.dlg
f m\metan.dlg
f m\metaninf.dlg
f m\metannt.dlg
f m\metap.dlg
f m\metareg.dlg
f m\metatrim.dlg
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
f m\metareg_ll.ado
f m\metareg_p.ado
f m\metareg_pm.ado
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
d 
d Author: Stas Kolenikov, kolenikovs@missouri.edu
d 
d cfa1 fits the confirmatory analysis model by maximum likelihood.
d The model is restricted to a single level single factor.
f c\cfa1.ado
f c\cfa1_lf.ado
f c\cfa1.hlp
e
S http://fmwww.bc.edu/repec/bocode/i
N icc23.pkg
D 26 Mar 2009
U 25
d 'ICC23': module that computes models 2 and 3 of the intra-class correlation
d 
d ICC23 computes the intra-class correlation for random effects
d models 2 and 3,  as described by Shrout and Fleiss, 1979.
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 
d 
d Requires: Stata version 9
d 
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
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
U 39
d 'ESTOUT': module to make regression tables
d 
d estout produces a table of regression results from one or several
d models for use with spreadsheets, LaTeX, HTML, or a
d word-processor table. eststo stores a quick copy of the active
d estimation results for later tabulation. esttab is a wrapper for
d estout. It displays a pretty looking publication-style regression
d table without much typing. estadd adds additional results to the
d e()-returns for one or several models previously fitted and
d stored. This package subsumes the previously circulated esto,
d esta, estadd,  and estadd_plus. An earlier version of estout is
d available  as estout1.
d 
d KW: estimates
d KW: LaTeX
d KW: HTML
d KW: word processor
d KW: output
d 
d Requires: Stata version 8.2
d 
d Distribution-Date: 20091012
d 
d Author: Ben Jann, ETH Zurich
d Support: email ben.jann@@soz.gess.ethz.ch
d 
f _\_eststo.ado
f _\_eststo.hlp
f e\estadd.ado
f e\estadd.hlp
f e\estout.ado
f e\estout.hlp
f e\eststo.ado
f e\eststo.hlp
f e\estpost.ado
f e\estpost.hlp
f e\esttab.ado
f e\esttab.hlp
e
S http://fmwww.bc.edu/repec/bocode/o
N outreg2.pkg
D  5 Dec 2009
U 40
d 'OUTREG2': module to arrange regression outputs into an illustrative table
d 
d outreg2 provides a fast and easy way to produce an illustrative
d table  of regression outputs. The regression outputs are produced
d piecemeal and are  difficult to compare without some type of
d rearrangement. outreg2  automates this process by concatenating
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
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.
d 
d KW: regression
d KW: output
d KW: tables
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
f o\outreg2_prf.ado
f o\outreg2.hlp
f s\shellout.ado
f s\shellout.hlp
f s\seeout.ado
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.
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 
d Author: Michael Lokshin, World Bank
d Support: email Mlokshin@@worldbank.org
d 
d Author: Zurab Sajaia, World Bank
d Support: email
d 
f x\xml_tab.ado
f x\xml_tab.hlp
e
S http://fmwww.bc.edu/repec/bocode/g
N gengroup.pkg
D  6 May 2013
U 55
d 'GENGROUP': module to produce groups of  individuals
d 
d  gengroup creates groups of individuals by using the values of an
d   ordinal variable. The module creates groups of individuals by
d recoding several  adjacent values of the ordinal variable, until
d obtaining groups with more than  individuals than the number
d defined in the minsize option.
d 
d KW: data management
d KW: groups
d KW: ordinal
d 
d Requires: Stata version 7.0
d 
d Distribution-Date: 20101208
d 
d Author: Jean-Benoit Hardouin, University of Nantes, France
d Support: email jean-benoit.hardouin@@univ-nantes.fr
d 
f g\gengroup.ado
f g\gengroup.hlp
e
S http://fmwww.bc.edu/RePEc/bocode/b
N batplot.pkg
D 18 Sep 2013
U 56
d 'BATPLOT': module to produce Bland-Altman plots accounting for trend
d 
d  The normal Bland-Altman plot is between the difference of paired
d variables versus  their average. This version uses a regression
d between the difference and the  average and then alters the
d limits of agreement accordingly. This is particularly  useful
d when the two variables might be measured on different scales and
d hence a  straight conversion factor would recalibrate the two
d variables.
d 
d KW: plot
d KW: Bland-Altman
d KW: difference
d KW: paired variables
d 
d Requires: Stata version 9.2
d 
d Distribution-Date: 20120617
d 
d Author: Adrian Mander
d Support: email Adrian.Mander@@mrc-hnr.cam.ac.uk
d 
f b\batplot.ado
f b\batplot.hlp
e
S http://www.indiana.edu/~jslsoc/stata
N spost9_ado.pkg
D 18 Oct 2013
U 57
d spost9_ado | Stata 9-13 commands for the post-estimation interpretation
d Distribution-date: 05Aug2013
d of regression models. Use package spostado.pkg for Stata 8.
d Based on Long & Freese - Regression Models for Categorical Dependent
d Variables Using Stata. Second Edition.
d Support www.indiana.edu/~jslsoc/spost.htm
d Scott Long & Jeremy Freese (spostsup@@indiana.edu)
f _\_get_mlogit_bv.ado
f _\_get_mlogit_bvecv.ado
f _\_peabbv.ado
f _\_pebase.ado
f _\_pebase.hlp
f _\_pecats.ado
f _\_pecats.hlp
f _\_peciboot.ado
f _\_peciboot.hlp
f _\_pecidelta.ado
f _\_pecidelta.hlp
f _\_peciml.ado
f _\_pecmdcheck.ado
f _\_pecollect.ado
f _\_pecollect.hlp
f _\_pedum.ado
f _\_pedum.hlp
f _\_peife.ado
f _\_peife.hlp
f _\_pemarg.ado
f _\_pemarg.hlp
f _\_penocon.ado
f _\_penocon.hlp
f _\_pepred.ado
f _\_pepred.hlp
f _\_perhs.ado
f _\_perhs.hlp
f _\_pesum.ado
f _\_pesum.hlp
f _\_petrap.ado
f _\_petrap.hlp
f _\_peunvec.ado
f _\_peunvec.hlp
f _\_pexstring.ado
f a\asprvalue.ado
f a\asprvalue.hlp
f b\brant.ado
f b\brant.hlp
f c\case2alt.ado
f c\case2alt.hlp
f c\countfit.ado
f c\countfit.hlp
f f\fitstat.ado
f f\fitstat.hlp
f l\leastlikely.ado
f l\leastlikely.hlp
f l\listcoef.ado
f l\listcoef.hlp
f m\misschk.ado
f m\misschk.sthlp
f m\mlogplot.ado
f m\mlogplot.hlp
f m\mlogtest.ado
f m\mlogtest.sthlp
f m\mlogview.ado
f m\mlogview.hlp
f m\mvtab1.ado
f m\mvtab1.hlp
f n\nmlab.ado
f n\nmlab.hlp
f p\praccum.ado
f p\praccum.hlp
f p\prchange.ado
f p\prchange.hlp
f p\prcounts.ado
f p\prcounts.hlp
f p\prdc.ado
f p\prdc.hlp
f p\prgen.ado
f p\prgen.hlp
f p\prtab.ado
f p\prtab.hlp
f p\prvalue.ado
f p\prvalue.hlp
f p\prwhich.ado
f s\spex.ado
f s\spex.hlp
f s\spost.hlp
f s\spost_footer.ihlp
f s\spostupdate.ado
f v\vardesc.ado
f v\vardesc.hlp
f x\xpost.ado
e
S http://www.andrew.cmu.edu/user/bjones/traj
N traj.pkg
D  6 Dec 2013
U 58
d traj. Group-Based Modeling of Longitudinal Data
d 
d {bf: Bobby L. Jones, University of Pittsburgh Medical Center}
d 
d {bf: Daniel S. Nagin, Carnegie Mellon University}
d 
d 
d Support: bjones@andrew.cmu.edu
f t\traj.plugin
f t\traj.ado
f t\trajplot.ado
f t\traj.hlp
f t\trajplot.hlp
e
