Regression Calibration Using Reliability Studies R package RegCalReliab version 0.2.0 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>. Software Imports: stats, sandwich Suggests: mgcv, knitr, rmarkdown Bowen Liu <bowenliu@hsph.harvard.edu> Comprehensive R Archive Network (CRAN) Bowen Liu [aut, cre, cph], Yu Lu [aut], Molin Wang [aut] MIT + file LICENSE (https://CRAN.R-project.org/package=RegCalReliab/LICENSE) 2025-10-06 application/tgz https://CRAN.R-project.org/package=RegCalReliab doi:10.32614/CRAN.package.RegCalReliab