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RegCalReliab  

Regression Calibration Using Reliability Studies
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("RegCalReliab", "0.2.0")



Attach the package and use:
library("RegCalReliab")
Maintained by
Bowen Liu
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2025-10-06
Latest Update: 2025-10-06
Description:
Implements regression calibration methods for correcting measurement error in regression models using external or internal reliability studies. Methods are described in Carroll, Ruppert, Stefanski, and Crainiceanu (2006) "Measurement Error in Nonlinear Models: A Modern Perspective" <doi:10.1201/9781420010138>.
How to cite:
Bowen Liu (2025). RegCalReliab: Regression Calibration Using Reliability Studies. R package version 0.2.0, https://cran.r-project.org/web/packages/RegCalReliab. Accessed 24 Oct. 2026.
Previous versions and publish date:
No previous versions
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Complete documentation for RegCalReliab
Functions, R codes and Examples using the RegCalReliab R package
Full RegCalReliab package functions and examples
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