LogitNet: Infer network based on binary arrays using regularized logistic regression
Version 0.1-1

LogitNet is developed for inferring network of binary variables under the high-dimension-low-sample-size setting

AuthorPei Wang <pwang@fhcrc.org>, Dennis Chao <dchao@fhcrc.org>, Li Hsu <lih@fhcrc.org>
Date of publication2009-11-25 08:38:21
MaintainerPei Wang <pwang@fhcrc.org>
LicenseGPL (>= 2)
Version0.1-1
Package repositoryView on CRAN
InstallationInstall the latest version of this package by entering the following in R:
install.packages("LogitNet")

Popular man pages

LogitNet: Fit a LogitNet model for a given tuning parameter value.
LogitNet.CV: Fit LogitNet models with cross validation.
LogitNet.data: Example Data for LogitNet package
LogitNet.weight: Derive the weight matrix for fitting the LogitNet model.
See all...

All man pages Function index File listing

Man pages

LogitNet: Fit a LogitNet model for a given tuning parameter value.
LogitNet.CV: Fit LogitNet models with cross validation.
LogitNet.data: Example Data for LogitNet package
LogitNet.weight: Derive the weight matrix for fitting the LogitNet model.

Functions

Files

NAMESPACE
INDEX
src
src/LogitNet.c
DESCRIPTION
man
man/LogitNet.data.Rd
man/LogitNet.weight.Rd
man/LogitNet.Rd
man/LogitNet.CV.Rd
R
R/LogitNet.R
data
data/LogitNet.data.rda
LogitNet documentation built on May 20, 2017, 2:10 a.m.

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