The hardware and bandwidth for this mirror is donated by dogado GmbH, the Webhosting and Full Service-Cloud Provider. Check out our Wordpress Tutorial.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]dogado.de.

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-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

Linking:

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

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.
Health stats visible at Monitor.