grpregOverlap: Penalized Regression Models with Overlapping Grouped Covariates

Fit the regularization path of linear, logistic or Cox models with overlapping grouped covariates based on the latent group lasso approach. Latent group MCP/SCAD as well as bi-level selection methods, namely the group exponential lasso and the composite MCP are also available. This package serves as an extension of R package 'grpreg' (by Dr. Patrick Breheny <patrick-breheny@uiowa.edu>) for grouped variable selection involving overlaps between groups.

AuthorYaohui Zeng, Patrick Breheny
Date of publication2016-12-31 08:47:57
MaintainerYaohui Zeng <yaohui-zeng@uiowa.edu>
LicenseGPL-3
Version2.2-0
https://github.com/YaohuiZeng/grpregOverlap

View on CRAN

Functions

coef.cv.grpregOverlap Man page
coef.grpregOverlap Man page
cv.grpregOverlap Man page
cv.grpsurvOverlap Man page
expandX Man page
gamma2beta Man page
grpregOverlap Man page
grpregOverlap-package Man page
incidenceMatrix Man page
overlapMatrix Man page
pathway.dat Man page
plot.cv.grpregOverlap Man page
plot.grpregOverlap Man page
predict.cv.grpregOverlap Man page
predict.grpregOverlap Man page
predict.grpsurvOverlap Man page
print.summary.cv.grpregOverlap Man page
select Man page
select.grpregOverlap Man page
summary.cv.grpregOverlap Man page

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