Regression Calibration Using Reliability Studies

Implements regression calibration methods for correcting measurement error in regression models using external or internal reliability studies. Methods are described in Carroll, Ruppert, Stefanski, and Crainiceanu (2006) "Measurement Error in Nonlinear Models: A Modern Perspective" .

RegCalReliab

RegCalReliab is an R package for performing regression calibration in regression models with covariate measurement error, using data from external or internal reliability studies.

• Authors: [Yu Lu, Bowen Liu, Molin Wang]
• Version: 0.1.0

Installation

You can install the development version of RegCalReliab from GitHub:

library(devtools)
install_github("Lbw080526/RegCalReliab")
# install.packages("RegCalReliab")

You can also get the official release version from CRAN:

install.packages("RegCalReliab")

Documentation and Examples

For detailed examples and usage of the RegCalReliab package, please refer to the vignette available on the pkgdown website.