RAMP: Regularized Generalized Linear Models with Interaction Effects
Version 1.9

Provides an efficient procedure for fitting the entire solution path for high-dimensional regularized quadratic generalized linear models with interactions effects under the strong or weak heredity constraint.

AuthorYang Feng, Ning Hao and Hao Helen Zhang
Date of publication2016-12-18 17:46:30
MaintainerYang Feng <yang.feng@columbia.edu>
LicenseGPL-2
Version1.9
Package repositoryView on CRAN
InstallationInstall the latest version of this package by entering the following in R:
install.packages("RAMP")

Popular man pages

predict.RAMP: Model prediction based on a fitted RAMP object.
print.RAMP: Result summary of a fitted RAMP object.
RAMP: Regularization Algorithm under Marginality Principle (RAMP)...
See all...

All man pages Function index File listing

Man pages

predict.RAMP: Model prediction based on a fitted RAMP object.
print.RAMP: Result summary of a fitted RAMP object.
RAMP: Regularization Algorithm under Marginality Principle (RAMP)...

Functions

Files

src
src/cd_general_lin.f
src/cd_general_bin.f
NAMESPACE
R
R/preprocess.R
R/intertomain.R
R/loglik.R
R/predict.RAMP.R
R/RAMP.R
R/cd.general.R
R/outercprod.R
R/print.RAMP.R
R/oraclefit.R
R/maintointer.R
MD5
DESCRIPTION
ChangeLog
man
man/RAMP.Rd
man/print.RAMP.Rd
man/predict.RAMP.Rd
RAMP documentation built on May 20, 2017, 1:19 a.m.

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