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eivtools (version 0.1-8)

Measurement Error Modeling Tools

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.

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Install

install.packages('eivtools')

Monthly Downloads

39

Version

0.1-8

License

GPL (>= 2) | file LICENSE

Maintainer

J.R. Lockwood

Last Published

September 18th, 2018

Functions in eivtools (0.1-8)

print.summary.eivlm

print method for objects of class summary.eivlm.
summary.eivlm

summary method for objects of class eivlm.
deconv_npmle

Nonparametric MLE deconvolution under heteroskedastic normal error
get_bugs_wishart_scalemat

Compute a BUGS-compliant scale matrix for a Wishart prior distribution for precision matrix that is consistent with target variances.
eivreg

Errors-in-variables (EIV) linear regression
lr_ancova

Latent Regression for Group Effects with Latent Heteroskedastic Error Variance
testscores

Example longitudinal test score data
print.eivlm

print method for objects of class eivlm.
model.matrix.eivlm

model.matrix method for objects of class eivlm.
vcov.eivlm

vcov method for objects of class eivlm.