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]

RCreliability_0.1.0.tar.gz
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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'))

Peer review:

Bug tracker:https://github.com/yulu98/rcreliability/issues

On CRAN:

3.00 score 8 scripts 128 downloads 2 exports 6 dependencies

Last updated 3 years agofrom:51f8702fb5. Checks:OK: 7. Indexed: yes.

TargetResultDate
Doc / VignettesOKOct 25 2024
R-4.5-winOKOct 25 2024
R-4.5-linuxOKOct 25 2024
R-4.4-winOKOct 25 2024
R-4.4-macOKOct 25 2024
R-4.3-winOKOct 25 2024
R-4.3-macOKOct 25 2024

Exports:RCreliability.exRCreliability.in

Dependencies:latticeMatrixmgcvnlmesandwichzoo

vig

Rendered fromvig.Rmdusingknitr::rmarkdownon Oct 25 2024.

Last update: 2021-11-27
Started: 2021-11-27

Readme and manuals

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