refitME: Measurement Error Modelling using MCEM

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".

Getting started

Package details

AuthorJakub Stoklosa [aut, cre] (<>), Wenhan Hwang [aut, ctb], David Warton [aut, ctb]
MaintainerJakub Stoklosa <>
Package repositoryView on CRAN
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refitME documentation built on Aug. 3, 2021, 5:07 p.m.