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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 |
| Reference manual: | BinaryEMVS.pdf |
| 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 |
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These binaries (installable software) and packages are in development.
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