BinaryEMVS: Variable Selection for Binary Data Using the EM Algorithm

Implements variable selection for high dimensional datasets with a binary response variable using the EM algorithm. Both probit and logit models are supported. Also included is a useful function to generate high dimensional data with correlated variables.

Version: 0.1
Depends: R (≥ 3.1.3)
Published: 2016-01-13
DOI: 10.32614/CRAN.package.BinaryEMVS
Author: John Snyder [aut, cre]
Maintainer: John Snyder <jcs8v6 at>
License: GPL-3
NeedsCompilation: no
CRAN checks: BinaryEMVS results


Reference manual: BinaryEMVS.pdf


Package source: BinaryEMVS_0.1.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): BinaryEMVS_0.1.tgz, r-oldrel (arm64): BinaryEMVS_0.1.tgz, r-release (x86_64): BinaryEMVS_0.1.tgz, r-oldrel (x86_64): BinaryEMVS_0.1.tgz


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