eivtools0.1-8 package

Measurement Error Modeling Tools

deconv_npmle

Nonparametric MLE deconvolution under heteroskedastic normal error

eivreg

Errors-in-variables (EIV) linear regression

get_bugs_wishart_scalemat

Compute a BUGS-compliant scale matrix for a Wishart prior distribution...

lr_ancova

Latent Regression for Group Effects with Latent Heteroskedastic Error ...

model.matrix.eivlm

model.matrix method for objects of class eivlm.

print.eivlm

print method for objects of class eivlm.

print.summary.eivlm

print method for objects of class summary.eivlm.

summary.eivlm

summary method for objects of class eivlm.

vcov.eivlm

vcov method for objects of class eivlm.

Download source packageRead PDF manual

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.

  • Maintainer: J.R. Lockwood
  • License: GPL (>= 2) | file LICENSE
  • Last published: 2018-09-18