RCreliability: Correct Bias in Estimated Regression Coefficients

This function corrects the bias in estimated regression coefficients due to classical additive measurement error (i.e., within-person variation) in logistic regressions under the main study/external reliability study design and the main study/internal reliability study design. The output includes the naive and corrected estimators for the regression coefficients; for the variance estimates of the corrected estimators, the extra variation due to estimating the parameters in the measurement error model is ignored or taken into account. Reference: Carroll RJ, Ruppert D, Stefanski L, Crainiceanu CM (2006) <doi:10.1201/9781420010138>.

Version: 0.1.0
Imports: sandwich, mgcv
Suggests: knitr, rmarkdown, testthat (≥ 3.0.0)
Published: 2021-12-10
Author: Yu Lu [aut, cre, cph], Molin Wang [aut]
Maintainer: Yu Lu <yulu at hsph.harvard.edu>
License: GPL-3
NeedsCompilation: no
Materials: NEWS
CRAN checks: RCreliability results


Reference manual: RCreliability.pdf
Vignettes: vig


Package source: RCreliability_0.1.0.tar.gz
Windows binaries: r-devel: RCreliability_0.1.0.zip, r-release: RCreliability_0.1.0.zip, r-oldrel: RCreliability_0.1.0.zip
macOS binaries: r-release (arm64): RCreliability_0.1.0.tgz, r-release (x86_64): RCreliability_0.1.0.tgz, r-oldrel: RCreliability_0.1.0.tgz


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