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grpss (version 3.0.1)

Group Screening and Selection

Description

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.

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Version

Install

install.packages('grpss')

Monthly Downloads

16

Version

3.0.1

License

GPL-2 | GPL-3

Maintainer

Last Published

January 3rd, 2016

Functions in grpss (3.0.1)

predict.cv.grpreg

Model predictions for a fitted cv.grpreg object
norm_vec

Compute the norm of a vector
Scale

Scale a matrix-like object
print.summary.cv.grpreg

Summarize a fitted cv.grpreg object
summary.grpreg

Summarize a fitted grpreg object
distcor

Compute the distance correlation
importance

Arrange and visualize the importance of groups
print.summary.grpreg

Summarize a fitted grpreg object
grpss

Group screening and selection
predict.grpreg

Model predictions for a fitted grpreg object
print.grpss

Print the grpss object
grp.criValues

Compute group screening criterion values
summary.cv.grpreg

Summarize a fitted cv.grpreg object