misaem: Linear Regression and Logistic Regression with Missing Covariates (original) (raw)
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: | 1.1.0 |
|---|---|
| Depends: | R (≥ 3.4.0) |
| Imports: | mvtnorm, stats, MASS, norm, methods, abind, glmnet |
| Suggests: | knitr, rmarkdown, mice |
| Published: | 2025-09-11 |
| DOI: | 10.32614/CRAN.package.misaem |
| Author: | Wei Jiang [aut], Pavlo Mozharovskyi [ctb], Imke Mayer [ctb], Christophe Muller [ctb], Julie Josse [aut, cre] |
| Maintainer: | Julie Josse <julie.josse at inria.fr> |
| BugReports: | https://github.com/julierennes/misaem/issues |
| 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 |
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