Package: ncvreg 3.14.3.1
ncvreg: Regularization Paths for SCAD and MCP Penalized Regression Models
Fits regularization paths for linear regression, GLM, and Cox regression models using lasso or nonconvex penalties, in particular the minimax concave penalty (MCP) and smoothly clipped absolute deviation (SCAD) penalty, with options for additional L2 penalties (the "elastic net" idea). Utilities for carrying out cross-validation as well as post-fitting visualization, summarization, inference, and prediction are also provided. For more information, see Breheny and Huang (2011) <doi:10.1214/10-AOAS388> or visit the ncvreg homepage <https://pbreheny.github.io/ncvreg/>.
Authors:
ncvreg_3.14.3.1.tar.gz
ncvreg_3.14.3.1.zip(r-4.5)ncvreg_3.14.3.1.zip(r-4.4)ncvreg_3.14.3.1.zip(r-4.3)
ncvreg_3.14.3.1.tgz(r-4.4-x86_64)ncvreg_3.14.3.1.tgz(r-4.4-arm64)ncvreg_3.14.3.1.tgz(r-4.3-x86_64)ncvreg_3.14.3.1.tgz(r-4.3-arm64)
ncvreg_3.14.3.1.tar.gz(r-4.5-noble)ncvreg_3.14.3.1.tar.gz(r-4.4-noble)
ncvreg_3.14.3.1.tgz(r-4.4-emscripten)ncvreg_3.14.3.1.tgz(r-4.3-emscripten)
ncvreg.pdf |ncvreg.html✨
ncvreg/json (API)
NEWS
| # Install 'ncvreg' in R: |
| install.packages('ncvreg', repos = c('https://pbreheny.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/pbreheny/ncvreg/issues
Pkgdown site:https://pbreheny.github.io
Last updated 5 months agofrom:41b23a751e. Checks:1 OK, 8 ERROR. Indexed: yes.
| Target | Result | Latest binary |
|---|---|---|
| Doc / Vignettes | OK | Dec 24 2024 |
| R-4.5-win-x86_64 | ERROR | Dec 24 2024 |
| R-4.5-linux-x86_64 | ERROR | Dec 24 2024 |
| R-4.4-win-x86_64 | ERROR | Dec 24 2024 |
| R-4.4-mac-x86_64 | ERROR | Dec 24 2024 |
| R-4.4-mac-aarch64 | ERROR | Dec 24 2024 |
| R-4.3-win-x86_64 | ERROR | Dec 24 2024 |
| R-4.3-mac-x86_64 | ERROR | Dec 24 2024 |
| R-4.3-mac-aarch64 | ERROR | Dec 24 2024 |
Exports:AUCcv.ncvregcv.ncvsurvlocal_mfdrmfdrncvfitncvregncvsurvperm.ncvregpermresstd
Dependencies:
