misaem: Linear Regression and Logistic Regression with MissingCovariates
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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