pensim: Simulation of High-Dimensional Data and Parallelized Repeated Penalized Regression

Simulation of continuous, correlated high-dimensional data with time to event or binary response, and parallelized functions for Lasso, Ridge, and Elastic Net penalized regression with repeated starts and two-dimensional tuning of the Elastic Net.

Version: 1.3.6
Depends: R (≥ 2.10.0)
Imports: methods, parallel, penalized, MASS
Suggests: survivalROC, survival, rmarkdown, knitr
Published: 2022-12-09
DOI: 10.32614/CRAN.package.pensim
Author: Levi Waldron
Maintainer: Levi Waldron <lwaldron.research at>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: no
Citation: pensim citation info
Materials: ChangeLog
CRAN checks: pensim results


Reference manual: pensim.pdf
Vignettes: pensim package user guide


Package source: pensim_1.3.6.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): pensim_1.3.6.tgz, r-oldrel (arm64): pensim_1.3.6.tgz, r-release (x86_64): pensim_1.3.6.tgz, r-oldrel (x86_64): pensim_1.3.6.tgz
Old sources: pensim archive


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