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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 |
DOI: | 10.32614/CRAN.package.RCreliability |
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-oldrel (arm64): RCreliability_0.1.0.tgz, r-release (x86_64): RCreliability_0.1.0.tgz, r-oldrel (x86_64): RCreliability_0.1.0.tgz |
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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.