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RCreliability  

Correct Bias in Estimated Regression Coefficients
View on CRAN: Click here


Download and install RCreliability package within the R console
Install from CRAN:
install.packages("RCreliability")

Install from Github:
library("remotes")
install_github("cran/RCreliability")

Install by package version:
library("remotes")
install_version("RCreliability", "0.1.0")



Attach the package and use:
library("RCreliability")
Maintained by
Yu Lu
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2021-12-10
Latest Update: 2021-12-10
Description:
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) .
How to cite:
Yu Lu (2021). RCreliability: Correct Bias in Estimated Regression Coefficients. R package version 0.1.0, https://cran.r-project.org/web/packages/RCreliability. Accessed 21 Nov. 2024.
Previous versions and publish date:
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Complete documentation for RCreliability
Functions, R codes and Examples using the RCreliability R package
Some associated functions: RCreliability.ex . RCreliability.in . 
Some associated R codes: RCreliability.ex.R . RCreliability.in.R .  Full RCreliability package functions and examples
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