32 lines
1.1 KiB
R
32 lines
1.1 KiB
R
% Generated by roxygen2: do not edit by hand
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% Please edit documentation in R/select_weight.R
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\name{select_weight}
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\alias{select_weight}
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\title{Compute confounding weights for the PCBSM.}
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\usage{
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select_weight(
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df = NULL,
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grp = NULL,
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X = NULL,
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instr = NULL,
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type.res = "deviance"
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)
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}
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\arguments{
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\item{df}{data.frame containing the data}
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\item{grp}{string containing the name of the column where the group membership variable is stored in df}
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\item{X}{vector of strings containing the name of confounders to be included in the model}
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\item{instr}{vector of strings containing the name of instrumental variables to be included in the model}
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\item{type.res}{string containing the type of glm residuals to be used. Default is "deviance"}
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}
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\value{
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A vector of weights to be included in a PCBSM
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}
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\description{
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This function computes weights to be included in a PCBSM as a covariate accounting for unobserved confounding. Obtained by extracting response residuals from a probit model with grp as dependent variable and confounders and instruments as independent variables.
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}
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