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 Documentation: Downloads: Reverse dependencies: Linking:Please use the canonical form https://CRAN.R-project.org/package=misaem to link to this page.
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