Measurement Error Modelling using MCEM R package refitME version 1.3.1 Fits measurement error models using Monte Carlo Expectation Maximization (MCEM). For specific details on the methodology, see: Greg C. G. Wei & Martin A. Tanner (1990) A Monte Carlo Implementation of the EM Algorithm and the Poor Man's Data Augmentation Algorithms, Journal of the American Statistical Association, 85:411, 699-704 <doi:10.1080/01621459.1990.10474930> For more examples on measurement error modelling using MCEM, see the 'RMarkdown' vignette: "'refitME' R-package tutorial". Software Depends: R (>= 4.4.0) Imports: MASS, mgcv, VGAM, VGAMdata, caret, expm, mvtnorm, sandwich, stats, dplyr, scales Jakub Stoklosa <j.stoklosa@unsw.edu.au> Comprehensive R Archive Network (CRAN) Jakub Stoklosa [aut, cre] (ORCID: <https://orcid.org/0000-0002-6523-4524>), Wenhan Hwang [aut, ctb], David Warton [aut, ctb] GPL-2 2025-04-13 application/tgz https://CRAN.R-project.org/package=refitME doi:10.32614/CRAN.package.refitME