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".
- Version1.2.2
- R versionunknown
- LicenseGPL-2
- Needs compilation?No
- Last release08/03/2021
Documentation
Team
- Jakub Stoklosa
- David WartonShow author detailsRolesAuthor, Contributor
- Wenhan HwangShow author detailsRolesAuthor, Contributor
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- Imports11 packages