Estimate parameters of linear regression and logistic regression with missing covariates with missing data, perform model selection and prediction, using EM-type algorithms.
| Version: | 1.0.0 |
| Depends: | R (≥ 3.4.0) |
| Imports: | mvtnorm, stats, MASS, mice, norm, methods |
| Suggests: | knitr, rmarkdown |
| Published: | 2020-07-05 |
| Author: | Wei Jiang [aut, cre], Pavlo Mozharovskyi [ctb] |
| Maintainer: | Wei Jiang <wei.jiang at polytechnique.edu> |
| License: | GPL-3 |
| URL: | https://github.com/wjiang94/misaem.git |
| NeedsCompilation: | no |
| Citation: | misaem citation info |
| Materials: | README NEWS |
| In views: | MissingData |
| CRAN checks: | misaem results |
| Reference manual: | misaem.pdf |
| Vignettes: |
misaem tutorial |
| Package source: | misaem_1.0.0.tar.gz |
| Windows binaries: | r-devel: misaem_1.0.0.zip, r-release: misaem_1.0.0.zip, r-oldrel: misaem_1.0.0.zip |
| macOS binaries: | r-release: misaem_1.0.0.tgz, r-oldrel: misaem_1.0.0.tgz |
| Old sources: | misaem archive |
| Reverse suggests: | WeightIt |
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