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
DOI: 10.32614/
Author: Jesse Hemerik, Livio Finos
Maintainer: Jesse Hemerik <jesse.hemerik at>
License: GPL-2 | GPL-3 [expanded from: GNU General Public License]
NeedsCompilation: no
CRAN checks: phd results


Reference manual: phd.pdf


Package source: phd_0.2.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
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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