grpss: Group Screening and Selection

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Contains the tools to screen grouped variables, and select screened grouped variables afterwards. The main function grpss() can perform the grouped variables screening as well as selection for ultra-high dimensional data with group structure. The screening step is primarily used to reduce the dimensions of data so that the selection procedure can easily handle the moderate or low dimensions instead of ultra-high dimensions.

Author
Debin Qiu, Jeongyoun Ahn
Date of publication
2016-01-03 22:28:01
Maintainer
Debin Qiu <debinqiu@uga.edu>
License
GPL-2 | GPL-3
Version
3.0.1

View on CRAN

Man pages

distcor
Compute the distance correlation
grp.criValues
Compute group screening criterion values
grpss
Group screening and selection
importance
Arrange and visualize the importance of groups
norm_vec
Compute the norm of a vector
predict.cv.grpreg
Model predictions for a fitted 'cv.grpreg' object
predict.grpreg
Model predictions for a fitted 'grpreg' object
print.grpss
Print the 'grpss' object
print.summary.cv.grpreg
Summarize a fitted 'cv.grpreg' object
print.summary.grpreg
Summarize a fitted 'grpreg' object
Scale
Scale a matrix-like object
summary.cv.grpreg
Summarize a fitted 'cv.grpreg' object
summary.grpreg
Summarize a fitted 'grpreg' object

Files in this package

grpss
grpss/NAMESPACE
grpss/R
grpss/R/grpss.R
grpss/R/summary.cv.grpreg.R
grpss/R/print.summary.grpreg.R
grpss/R/Scale.R
grpss/R/distcorr.R
grpss/R/print.grpss.R
grpss/R/predict.grpreg.R
grpss/R/summary.grpreg.R
grpss/R/print.summary.cv.grpreg.R
grpss/R/grp.criValues.R
grpss/R/predict.cv.grpreg.R
grpss/R/norm_vec.R
grpss/R/importance.R
grpss/MD5
grpss/DESCRIPTION
grpss/man
grpss/man/distcor.Rd
grpss/man/print.summary.cv.grpreg.Rd
grpss/man/summary.grpreg.Rd
grpss/man/grp.criValues.Rd
grpss/man/print.grpss.Rd
grpss/man/predict.cv.grpreg.Rd
grpss/man/norm_vec.Rd
grpss/man/Scale.Rd
grpss/man/grpss.Rd
grpss/man/predict.grpreg.Rd
grpss/man/summary.cv.grpreg.Rd
grpss/man/importance.Rd
grpss/man/print.summary.grpreg.Rd