misaem: Logistic Regression with Missing Covariates

Estimate parameters of logistic regression with missing data and perform model selection, using algorithm Stochastic Approximation EM.

Version: 0.9.2
Depends: R (≥ 3.4.0)
Imports: mvtnorm, stats, MASS, methods
Suggests: knitr, rmarkdown
Published: 2019-12-19
Author: Wei Jiang [aut, cre]
Maintainer: Wei Jiang <wei.jiang at polytechnique.edu>
License: GPL-3
URL: https://github.com/wjiang94/misaem.git
NeedsCompilation: no
Materials: README NEWS
In views: MissingData
CRAN checks: misaem results

Downloads:

Reference manual: misaem.pdf
Vignettes: misaem tutorial
Package source: misaem_0.9.2.tar.gz
Windows binaries: r-devel: misaem_0.9.2.zip, r-release: misaem_0.9.2.zip, r-oldrel: misaem_0.9.2.zip
macOS binaries: r-release: misaem_0.9.2.tgz, r-oldrel: misaem_0.9.2.tgz
Old sources: misaem archive

Reverse dependencies:

Reverse suggests: WeightIt

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