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LogitNet (version 0.1-1)
Infer network based on binary arrays using regularized logistic regression
Description
LogitNet is developed for inferring network of binary variables under the high-dimension-low-sample-size setting
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Link to current version
Version
Version
0.1-1
Install
install.packages('LogitNet')
Monthly Downloads
3
Version
0.1-1
License
GPL (>= 2)
Maintainer
Pei Wang
Last Published
November 25th, 2009
Functions in LogitNet (0.1-1)
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LogitNet
Fit a LogitNet model for a given tuning parameter value.
LogitNet.data
Example Data for LogitNet package
LogitNet.CV
Fit LogitNet models with cross validation.
LogitNet.weight
Derive the weight matrix for fitting the LogitNet model.