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remMap (version 0.2-0)

Regularized Multivariate Regression for Identifying Master Predictors

Description

remMap is developed for fitting multivariate response regression models under the high-dimension-low-sample-size setting

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Version

Install

install.packages('remMap')

Monthly Downloads

32

Version

0.2-0

License

GPL (>= 2)

Maintainer

Pei Wang

Last Published

January 23rd, 2015

Functions in remMap (0.2-0)

remMap.CV

Fit remMap models for a series of tuning parameters and return the corresponding v-fold cross-validation scores.
remMap.df

A function to calculate the degrees of freedom of the remMap estimator.
remMap.BIC

Fit remMap models for a series of tuning parameters and return the corresponding BIC scores.
remMap

A function to fit REgularized Multivariate regression model using the MAP penalty (remMap).