lassoscore: High-Dimensional Inference with the Penalized Score Test

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

Version:	0.6
Depends:	R (≥ 2.10), glasso, glmnet, Matrix
Suggests:	covTest, lars
Published:	2014-10-28
Author:	Arie Voorman
Maintainer:	Arie Voorman <arie.voorman at gmail.com>
License:	GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation:	no
CRAN checks:	lassoscore results

Documentation:

Reference manual:

lassoscore.pdf

Downloads:

Package source:	lassoscore_0.6.tar.gz
Windows binaries:	r-devel: lassoscore_0.6.zip, r-release: lassoscore_0.6.zip, r-oldrel: lassoscore_0.6.zip
macOS binaries:	r-release (arm64): lassoscore_0.6.tgz, r-oldrel (arm64): lassoscore_0.6.tgz, r-release (x86_64): lassoscore_0.6.tgz, r-oldrel (x86_64): lassoscore_0.6.tgz
Old sources:	lassoscore archive

Linking:

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