lassoscore: High-Dimensional Inference with the Penalized Score Test
Version 0.6

Use the lasso regression method to perform approximate inference in high dimensions, by penalizing the effects of nuisance parameters.

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AuthorArie Voorman <arie.voorman@gmail.com>
Date of publication2014-10-28 08:10:02
MaintainerArie Voorman <arie.voorman@gmail.com>
LicenseGPL (>= 2)
Version0.6
Package repositoryView on CRAN
InstallationInstall the latest version of this package by entering the following in R:
install.packages("lassoscore")

Man pages

diabetes: Blood and other measurements in diabetics.
glassoscore: Penalized score test, for the graphical lasso.
lassoscore: Lasso penalized score test
qqpval: make a QQ plot of p-values.

Functions

diabetes Man page
glassoscore Man page Source code
lassoscore Man page Source code
lassoscore-package Man page
mbscore Man page Source code
plot.glassoscore Source code
plot.lassoscore Source code
plot.mbscore Source code
print.glassoscore Source code
print.lassoscore Source code
print.mbscore Source code
qqpval Man page Source code
summary.lassoscore Source code

Files

NAMESPACE
data
data/diabetes.RData
R
R/lassoscore-package.R
MD5
DESCRIPTION
man
man/lassoscore.Rd
man/qqpval.Rd
man/diabetes.Rd
man/glassoscore.Rd
lassoscore documentation built on May 19, 2017, 4:05 p.m.