rsig: Robust Signature Selection for Survival Outcomes
Version 1.0

Robust and efficient feature selection algorithm to identify important features for predicting survival risk. The method is based on subsampling and averaging linear models obtained from the (preconditioned) Lasso algorithm, with an extra shrinking procedure to reduce the size of signatures. An evaluation procedure using subsampling is also provided.

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AuthorSangkyun Lee <sangkyun.lee@tu-dortmund.de>, Michel Lang <michellang@gmail.com>
Date of publication2013-10-12 23:54:18
MaintainerSangkyun Lee <sangkyun.lee@tu-dortmund.de>
LicenseGPL-2
Version1.0
Package repositoryView on CRAN
InstallationInstall the latest version of this package by entering the following in R:
install.packages("rsig")

Man pages

predict.rsig: Make Prediction
rsig: Robust Signature Selection for Survival Outcomes
rsig.all: Robust Signature Selection for Survival Outcomes with...
rsig.eval: Performance Evaluation

Functions

balanced.subset.sample Source code
filterSD Source code
fit_lasso Source code
fit_prlasso Source code
predict.rsig Man page Source code
rsig Man page Source code
rsig.all Man page Source code
rsig.eval Man page Source code
run_rs Source code

Files

inst
inst/tests
inst/tests/test_robsel.R
NAMESPACE
R
R/models.R
R/evaluate.R
R/sampling.R
R/rsig.all.R
R/helper.R
R/rsig.R
R/zzz.R
MD5
DESCRIPTION
man
man/rsig.eval.Rd
man/predict.rsig.Rd
man/rsig.all.Rd
man/rsig.Rd
rsig documentation built on May 20, 2017, 5:40 a.m.