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".
| Version: |
1.3.1 |
| Depends: |
R (≥ 4.4.0) |
| Imports: |
MASS, mgcv, VGAM, VGAMdata, caret, expm, mvtnorm, sandwich, stats, dplyr, scales |
| Published: |
2025-04-13 |
| DOI: |
10.32614/CRAN.package.refitME |
| Author: |
Jakub Stoklosa 
[aut, cre],
Wenhan Hwang [aut, ctb],
David Warton [aut, ctb] |
| Maintainer: |
Jakub Stoklosa <j.stoklosa at unsw.edu.au> |
| License: |
GPL-2 |
| NeedsCompilation: |
no |
| Materials: |
README |
| CRAN checks: |
refitME results |
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