Package: RCreliability 0.1.0

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>.

Authors:Yu Lu [aut, cre, cph], Molin Wang [aut]

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RCreliability.pdf |RCreliability.html
RCreliability/json (API)
NEWS

# Install 'RCreliability' in R:
install.packages('RCreliability', repos = c('https://yulu98.r-universe.dev', 'https://cloud.r-project.org'))

On CRAN:

Conda:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

2.00 score 8 scripts 140 downloads 2 exports 6 dependencies

Last updated 3 years agofrom:d8d3dae1b3. Checks:9 OK. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKMar 26 2025
R-4.5-winOKMar 26 2025
R-4.5-macOKMar 26 2025
R-4.5-linuxOKMar 26 2025
R-4.4-winOKMar 26 2025
R-4.4-macOKMar 26 2025
R-4.4-linuxOKMar 26 2025
R-4.3-winOKMar 26 2025
R-4.3-macOKMar 26 2025

Exports:RCreliability.exRCreliability.in

Dependencies:latticeMatrixmgcvnlmesandwichzoo

vig

Rendered fromvig.Rmdusingknitr::rmarkdownon Mar 26 2025.

Last update: 2021-12-10
Started: 2021-12-10

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