% 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,
  type.res = "deviance"
)
}
\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}

\item{type.res}{string containing the type of glm residuals to be used. Default is "deviance"}
}
\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.
}