Package: misaem
Type: Package
Version: 1.1.0
Title: Linear Regression and Logistic Regression with Missing
        Covariates
Date: 2025-09-11
Authors@R: c( person("Wei", "Jiang", role = "aut", email = "wei.jiang@polytechnique.edu"),
              person("Pavlo", "Mozharovskyi", role = "ctb", email = "pavlo.mozharovskyi@telecom-paristech.fr"),
              person("Imke", "Mayer", role = "ctb", email = "mayer.imke@gmail.com"),
              person("Christophe", "Muller", role = "ctb", email = "christophe.muller@jesus.ox.ac.uk"),
              person("Julie", "Josse", role = c("aut", "cre"), email = "julie.josse@inria.fr"))
Maintainer: Julie Josse <julie.josse@inria.fr>
Depends: R (>= 3.4.0)
Imports: mvtnorm, stats, MASS, norm, methods, abind, glmnet
Suggests: knitr, rmarkdown, mice
Description: 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>.
Encoding: UTF-8
License: GPL-3
URL: https://github.com/julierennes/misaem
BugReports: https://github.com/julierennes/misaem/issues
RoxygenNote: 7.3.2
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2025-09-11 12:54:09 UTC; Carrefour
Author: Wei Jiang [aut],
  Pavlo Mozharovskyi [ctb],
  Imke Mayer [ctb],
  Christophe Muller [ctb],
  Julie Josse [aut, cre]
Repository: CRAN
Date/Publication: 2025-09-11 20:30:02 UTC
Built: R 4.6.0; ; 2026-04-26 08:48:13 UTC; unix
