% Generated by roxygen2: do not edit by hand
% Please edit documentation in R/estim_eq_corrected.R
\name{estim_eq_corrected}
\alias{estim_eq_corrected}
\title{Moment-corrected estimating equations for measurement error regression}
\usage{
estim_eq_corrected(y, Wbar, Zmat, b_in, estSigmaU_bar)
}
\arguments{
\item{y}{Numeric vector of length \code{n} containing the response.}

\item{Wbar}{Numeric matrix of dimension \code{n x p} containing averaged
error-prone covariates.}

\item{Zmat}{Numeric matrix of dimension \code{n x q} containing error-free
covariates (including an intercept if required).}

\item{b_in}{Numeric vector of length \code{p + q} containing the regression
coefficients at which the estimating equations are evaluated.}

\item{estSigmaU_bar}{Numeric array of dimension \code{n x p x p} (or numeric
vector in the univariate case) containing measurement error covariance
estimates.}
}
\value{
Numeric vector of length \code{p + q} containing the stacked
  estimating equations.
}
\description{
Constructs the moment-corrected estimating equations for a linear regression
model with averaged error-prone covariates and error-free covariates.
}
\keyword{internal}
