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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 mail.missouri.edu>
License: GPL-3
NeedsCompilation: no
CRAN checks: BinaryEMVS results

Documentation:

Reference manual: BinaryEMVS.pdf

Downloads:

Package source: BinaryEMVS_0.1.tar.gz
Windows binaries: r-devel: BinaryEMVS_0.1.zip, r-release: BinaryEMVS_0.1.zip, r-oldrel: BinaryEMVS_0.1.zip
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

Linking:

Please use the canonical form https://CRAN.R-project.org/package=BinaryEMVS to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.