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An efficient unified nonconvex penalized estimation algorithm for Gaussian (linear), binomial Logit (logistic), Poisson, multinomial Logit, and Cox proportional hazard regression models. The unified algorithm is implemented based on the convex concave procedure and the algorithm can be applied to most of the existing nonconvex penalties. The algorithm also supports convex penalty: least absolute shrinkage and selection operator (LASSO). Supported nonconvex penalties include smoothly clipped absolute deviation (SCAD), minimax concave penalty (MCP), truncated LASSO penalty (TLP), clipped LASSO (CLASSO), sparse ridge (SRIDGE), modified bridge (MBRIDGE) and modified log (MLOG). For high-dimensional data (data set with many variables), the algorithm selects relevant variables producing a parsimonious regression model. Kim, D., Lee, S. and Kwon, S. (2018) <doi:10.48550/arXiv.1811.05061>, Lee, S., Kwon, S. and Kim, Y. (2016) <doi:10.1016/j.csda.2015.08.019>, Kwon, S., Lee, S. and Kim, Y. (2015) <doi:10.1016/j.csda.2015.07.001>. (This research is funded by Julian Virtue Professorship from Center for Applied Research at Pepperdine Graziadio Business School and the National Research Foundation of Korea.)
Version: | 1.0.0 |
Depends: | R (≥ 3.4) |
Imports: | Rcpp (≥ 0.11.2) |
LinkingTo: | Rcpp, RcppArmadillo |
Published: | 2018-11-17 |
DOI: | 10.32614/CRAN.package.ncpen |
Author: | Dongshin Kim [aut, cre, cph], Sunghoon Kwon [aut, cph], Sangin Lee [aut, cph] |
Maintainer: | Dongshin Kim <dongshin.kim at live.com> |
BugReports: | https://github.com/zeemkr/ncpen/issues |
License: | GPL (≥ 3) |
URL: | https://github.com/zeemkr/ncpen |
NeedsCompilation: | yes |
Language: | en-US |
Materials: | README NEWS |
CRAN checks: | ncpen results |
Reference manual: | ncpen.pdf |
Package source: | ncpen_1.0.0.tar.gz |
Windows binaries: | r-devel: ncpen_1.0.0.zip, r-release: ncpen_1.0.0.zip, r-oldrel: ncpen_1.0.0.zip |
macOS binaries: | r-release (arm64): ncpen_1.0.0.tgz, r-oldrel (arm64): ncpen_1.0.0.tgz, r-release (x86_64): ncpen_1.0.0.tgz, r-oldrel (x86_64): ncpen_1.0.0.tgz |
Old sources: | ncpen 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.