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Added functions for the PCBM and PCBSM

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Corentin Choisy
2025-05-26 11:04:03 +02:00
parent 28e43dee33
commit 0a8437fc48
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% Generated by roxygen2: do not edit by hand
% Please edit documentation in R/select_weight.R
\name{select_weight}
\alias{select_weight}
\title{Compute confounding weights for the PCBSM.}
\usage{
select_weight(df = NULL, grp = NULL, X = NULL, instr = NULL)
}
\arguments{
\item{df}{data.frame containing the data}
\item{grp}{string containing the name of the column where the group membership variable is stored in df}
\item{X}{vector of strings containing the name of confounders to be included in the model}
\item{instr}{vector of strings containing the name of instrumental variables to be included in the model}
}
\value{
A vector of weights to be included in a PCBSM
}
\description{
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.
}