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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
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Package details |
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| Author | Jakub Stoklosa [aut, cre] (<https://orcid.org/0000-0002-6523-4524>), Wenhan Hwang [aut, ctb], David Warton [aut, ctb] |
| Maintainer | Jakub Stoklosa <j.stoklosa@unsw.edu.au> |
| License | GPL-2 |
| Version | 1.2.2 |
| Package repository | View on CRAN |
| Installation |
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