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