phd: Permutation Testing in High-Dimensional Linear Models

Provides permutation methods for testing in high-dimensional linear models. The tests are often robust against heteroscedasticity and non-normality and usually perform well under anti-sparsity. See Hemerik, Thoresen and Finos (2021) <doi:10.1080/00949655.2020.1836183>.

Version:	0.2
Imports:	methods, stats, glmnet
Published:	2022-01-06
Author:	Jesse Hemerik, Livio Finos
Maintainer:	Jesse Hemerik <jesse.hemerik at wur.nl>
License:	GPL-2 | GPL-3 [expanded from: GNU General Public License]
NeedsCompilation:	no
CRAN checks:	phd results

Documentation:

Reference manual:

phd.pdf

Downloads:

Package source:	phd_0.2.tar.gz
Windows binaries:	r-devel: phd_0.2.zip, r-release: phd_0.2.zip, r-oldrel: phd_0.2.zip
macOS binaries:	r-release (arm64): phd_0.2.tgz, r-oldrel (arm64): phd_0.2.tgz, r-release (x86_64): phd_0.2.tgz, r-oldrel (x86_64): phd_0.2.tgz
Old sources:	phd archive

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