jrlockwood/eivtools: Measurement Error Modeling Tools

This includes functions for analysis with error-prone covariates, including deconvolution, latent regression and errors-in-variables regression. It implements methods by Rabe-Hesketh et al. (2003) <doi:10.1191/1471082x03st056oa>, Lockwood and McCaffrey (2014) <doi:10.3102/1076998613509405>, and Lockwood and McCaffrey (2017) <doi:10.1007/s11336-017-9556-y>, among others.

Getting started

Package details

AuthorJ.R. Lockwood
MaintainerJ.R. Lockwood <jr@duolingo.com>
LicenseGPL (>= 2) | file LICENSE
Version0.1-9
Package repositoryView on GitHub
Installation Install the latest version of this package by entering the following in R:
install.packages("remotes")
remotes::install_github("jrlockwood/eivtools")
jrlockwood/eivtools documentation built on April 9, 2022, 4:01 a.m.