LogitNet: Infer network based on binary arrays using regularized logistic regression

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

Author
Pei Wang <pwang@fhcrc.org>, Dennis Chao <dchao@fhcrc.org>, Li Hsu <lih@fhcrc.org>
Date of publication
2009-11-25 08:38:21
Maintainer
Pei Wang <pwang@fhcrc.org>
License
GPL (>= 2)
Version
0.1-1

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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.

Files in this package

LogitNet
LogitNet/NAMESPACE
LogitNet/INDEX
LogitNet/src
LogitNet/src/LogitNet.c
LogitNet/DESCRIPTION
LogitNet/man
LogitNet/man/LogitNet.data.Rd
LogitNet/man/LogitNet.weight.Rd
LogitNet/man/LogitNet.Rd
LogitNet/man/LogitNet.CV.Rd
LogitNet/R
LogitNet/R/LogitNet.R
LogitNet/data
LogitNet/data/LogitNet.data.rda