BinaryEMVS: Variable Selection for Binary Data Using the EM Algorithm

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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.

Author
John Snyder [aut, cre]
Date of publication
2016-01-13 08:49:37
Maintainer
John Snyder <jcs8v6@mail.missouri.edu>
License
GPL-3
Version
0.1

View on CRAN

Man pages

BinomialEMVS
Variable Selection For Binary Data Using The EM Algorithm
data.sim
High Dimensional Correlated Data Generation

Files in this package

BinaryEMVS
BinaryEMVS/NAMESPACE
BinaryEMVS/R
BinaryEMVS/R/EMVS.logit.R
BinaryEMVS/R/SCDA.logistic.R
BinaryEMVS/R/data.sim.R
BinaryEMVS/R/SCDA.R
BinaryEMVS/R/BinomialEMVS.R
BinaryEMVS/R/EMVS.probit.R
BinaryEMVS/MD5
BinaryEMVS/DESCRIPTION
BinaryEMVS/man
BinaryEMVS/man/data.sim.Rd
BinaryEMVS/man/BinomialEMVS.Rd