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eivtools  

Measurement Error Modeling Tools
View on CRAN: Click here


Download and install eivtools package within the R console
Install from CRAN:
install.packages("eivtools")

Install from Github:
library("remotes")
install_github("cran/eivtools")

Install by package version:
library("remotes")
install_version("eivtools", "0.1-8")



Attach the package and use:
library("eivtools")
Maintained by
J.R. Lockwood
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2018-09-18
Latest Update: 2018-09-18
Description:
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) , Lockwood and McCaffrey (2014) , and Lockwood and McCaffrey (2017) , among others.
How to cite:
J.R. Lockwood (2018). eivtools: Measurement Error Modeling Tools. R package version 0.1-8, https://cran.r-project.org/web/packages/eivtools. Accessed 29 Mar. 2025.
Previous versions and publish date:
0.1-8 (2018-09-19 00:30)
Other packages that cited eivtools R package
View eivtools citation profile
Other R packages that eivtools depends, imports, suggests or enhances
Complete documentation for eivtools
Functions, R codes and Examples using the eivtools R package
Some associated functions: deconv_npmle . eivreg . get_bugs_wishart_scalemat . lr_ancova . model.matrix.eivlm . print.eivlm . print.summary.eivlm . summary.eivlm . testscores . vcov.eivlm . 
Some associated R codes: deconv_npmle.R . eivlm_methods.R . eivreg.R . get_bugs_wishart_scalemat.R . lr_ancova.R .  Full eivtools package functions and examples
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