misaem: Linear Regression and Logistic Regression with Missing Covariates

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 dependencies:

Reverse suggests: WeightIt


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