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

Documentation:

Reference manual:	RCreliability.pdf
Vignettes:	vig

Downloads:

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

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