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Estimate parameters of linear regression and logistic regression with missing covariates with missing data, perform model selection and prediction, using EM-type algorithms. Jiang W., Josse J., Lavielle M., TraumaBase Group (2020) <doi:10.1016/j.csda.2019.106907>.
| Version: | 1.0.1 |
| Depends: | R (≥ 3.4.0) |
| Imports: | mvtnorm, stats, MASS, norm, methods |
| Suggests: | knitr, rmarkdown, mice |
| Published: | 2021-04-12 |
| DOI: | 10.32614/CRAN.package.misaem |
| Author: | Wei Jiang [aut], Pavlo Mozharovskyi [ctb], Julie Josse [aut, cre], Imke Mayer [ctb] |
| Maintainer: | Julie Josse <julie.josserennes at gmail.com> |
| License: | GPL-3 |
| URL: | https://github.com/julierennes/misaem |
| NeedsCompilation: | no |
| Citation: | misaem citation info |
| Materials: | README NEWS |
| In views: | MissingData |
| CRAN checks: | misaem results |
| Reference manual: | misaem.pdf |
| Vignettes: |
Linear regression and logistic regression with missing covariates |
| Package source: | misaem_1.0.1.tar.gz |
| Windows binaries: | r-devel: misaem_1.0.1.zip, r-release: misaem_1.0.1.zip, r-oldrel: misaem_1.0.1.zip |
| macOS binaries: | r-release (arm64): misaem_1.0.1.tgz, r-oldrel (arm64): misaem_1.0.1.tgz, r-release (x86_64): misaem_1.0.1.tgz, r-oldrel (x86_64): misaem_1.0.1.tgz |
| Old sources: | misaem archive |
| Reverse suggests: | WeightIt |
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