gglasso: Group Lasso Penalized Learning Using A Unified BMD Algorithm

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This package implements a unified algorithm, blockwise-majorization-decent (BMD), for efficiently computing the solution paths of the group-lasso penalized least squares, logistic regression, Huberized SVM and squared SVM.

Author
Yi Yang <yiyang@umn.edu>, Hui Zou <hzou@stat.umn.edu>
Date of publication
2014-08-17 08:22:45
Maintainer
Yi Yang <yiyang@umn.edu>
License
GPL-2
Version
1.3
URLs

View on CRAN

Man pages

bardet
Simplified gene expression data from Scheetz et al. (2006)
coef.cv.gglasso
get coefficients or make coefficient predictions from a...
coef.gglasso
get coefficients or make coefficient predictions from an...
colon
Simplified gene expression data from Alon et al. (1999)
cv.gglasso
Cross-validation for gglasso
gglasso
Fits the regularization paths for group-lasso penalized...
plot.cv.gglasso
plot the cross-validation curve produced by cv.gglasso
plot.gglasso
Plot solution paths from a "gglasso" object
predict.cv.gglasso
make predictions from a "cv.gglasso" object.
predict.gglasso
make predictions from a "gglasso" object.
print.gglasso
print a gglasso object

Files in this package

gglasso
gglasso/COPYING
gglasso/src
gglasso/src/gglasso.f90
gglasso/NAMESPACE
gglasso/data
gglasso/data/bardet.rda
gglasso/data/colon.rda
gglasso/R
gglasso/R/model.R
gglasso/R/cv.R
gglasso/R/plot.gglasso.R
gglasso/R/utilities.R
gglasso/R/tools.R
gglasso/R/gglasso.R
gglasso/R/auxiliary.R
gglasso/R/loss.R
gglasso/R/plot.cv.gglasso.R
gglasso/MD5
gglasso/DESCRIPTION
gglasso/ChangeLog
gglasso/man
gglasso/man/plot.gglasso.Rd
gglasso/man/bardet.Rd
gglasso/man/colon.Rd
gglasso/man/predict.cv.gglasso.Rd
gglasso/man/coef.cv.gglasso.Rd
gglasso/man/predict.gglasso.Rd
gglasso/man/plot.cv.gglasso.Rd
gglasso/man/cv.gglasso.Rd
gglasso/man/coef.gglasso.Rd
gglasso/man/print.gglasso.Rd
gglasso/man/gglasso.Rd