remMap: Regularized Multivariate Regression for Identifying Master Predictors
Version 0.2-0

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

AuthorJie Peng <jie@wald.ucdavis.edu>, Pei Wang <pwang@fhcrc.org>, Ji Zhu <jizhu@umich.edu>.
Date of publication2015-01-23 09:17:05
MaintainerPei Wang <pwang@fhcrc.org>
LicenseGPL (>= 2)
Version0.2-0
Package repositoryView on CRAN
InstallationInstall the latest version of this package by entering the following in R:
install.packages("remMap")

Popular man pages

remMap: A function to fit REgularized Multivariate regression model...
remMap.bic: Fit remMap models for a series of tuning parameters and...
remMap.cv: Fit remMap models for a series of tuning parameters and...
remMap.df: A function to calculate the degrees of freedom of the remMap...
See all...

All man pages Function index File listing

Man pages

remMap: A function to fit REgularized Multivariate regression model...
remMap.bic: Fit remMap models for a series of tuning parameters and...
remMap.cv: Fit remMap models for a series of tuning parameters and...
remMap.df: A function to calculate the degrees of freedom of the remMap...

Functions

OLS.CV Source code
RSS.CV Source code
remMap Man page Source code
remMap.BIC Man page Source code
remMap.CV Man page Source code
remMap.df Man page Source code

Files

src
src/remMap.c
NAMESPACE
R
R/remMap.R
MD5
DESCRIPTION
man
man/remMap.cv.Rd
man/remMap.Rd
man/remMap.df.Rd
man/remMap.bic.Rd
INDEX
remMap documentation built on May 19, 2017, 7:50 a.m.

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