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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 gmail.com>
BugReports: https://github.com/waldronlab/pensim/issues
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
URL: https://waldronlab.io/pensim/
NeedsCompilation: no
Citation: pensim citation info
Materials: ChangeLog
CRAN checks: pensim results

Documentation:

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

Downloads:

Package source: pensim_1.3.6.tar.gz
Windows binaries: r-devel: pensim_1.3.6.zip, r-release: pensim_1.3.6.zip, r-oldrel: pensim_1.3.6.zip
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

Linking:

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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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