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 and Goeman (2018) <doi:10.1007/s11749-017-0571-1>.

Version: 0.1
Imports: methods, stats, glmnet
Published: 2019-07-02
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_0.1.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release: phd_0.1.tgz, r-oldrel: phd_0.1.tgz


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