RegCalReliab: 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" <doi:10.1201/9781420010138>.

Version: 0.2.0
Imports: stats, sandwich
Suggests: mgcv, knitr, rmarkdown
Published: 2025-10-06
DOI: 10.32614/CRAN.package.RegCalReliab (may not be active yet)
Author: Bowen Liu [aut, cre, cph], Yu Lu [aut], Molin Wang [aut]
Maintainer: Bowen Liu <bowenliu at hsph.harvard.edu>
BugReports: https://github.com/lbw080526/RegCalReliab/issues
License: MIT + file LICENSE
URL: https://lbw080526.github.io/RegCalReliab/, https://github.com/lbw080526/RegCalReliab
NeedsCompilation: no
Materials: README, NEWS
CRAN checks: RegCalReliab results

Documentation:

Reference manual: RegCalReliab.html , RegCalReliab.pdf
Vignettes: regcal_example (source, R code)

Downloads:

Package source: RegCalReliab_0.2.0.tar.gz
Windows binaries: r-devel: not available, r-release: not available, r-oldrel: not available
macOS binaries: r-release (arm64): not available, r-oldrel (arm64): not available, r-release (x86_64): RegCalReliab_0.2.0.tgz, r-oldrel (x86_64): RegCalReliab_0.2.0.tgz

Linking:

Please use the canonical form https://CRAN.R-project.org/package=RegCalReliab to link to this page.