BinaryEMVS: Variable Selection for Binary Data Using the EM Algorithm
Version 0.1

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.

Browse man pages Browse package API and functions Browse package files

AuthorJohn Snyder [aut, cre]
Date of publication2016-01-13 08:49:37
MaintainerJohn Snyder <jcs8v6@mail.missouri.edu>
LicenseGPL-3
Version0.1
Package repositoryView on CRAN
InstallationInstall the latest version of this package by entering the following in R:
install.packages("BinaryEMVS")

Man pages

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

Functions

BinomialEMVS Man page Source code
CSDCD.logistic Source code
CSDCD.random Source code
EMVS.logit Source code
EMVS.probit Source code
data.sim Man page Source code

Files

NAMESPACE
R
R/EMVS.logit.R
R/SCDA.logistic.R
R/data.sim.R
R/SCDA.R
R/BinomialEMVS.R
R/EMVS.probit.R
MD5
DESCRIPTION
man
man/data.sim.Rd
man/BinomialEMVS.Rd
BinaryEMVS documentation built on May 20, 2017, 2:56 a.m.