Package: CPGLIB 1.1.1
Anthony Christidis
CPGLIB: Competing Proximal Gradients Library
Functions to generate ensembles of generalized linear models using competing proximal gradients. The optimal sparsity and diversity tuning parameters are selected via an alternating grid search.
Authors:
CPGLIB_1.1.1.tar.gz
CPGLIB_1.1.1.tar.gz(r-4.5-noble)CPGLIB_1.1.1.tar.gz(r-4.4-noble)
CPGLIB_1.1.1.tgz(r-4.4-emscripten)CPGLIB_1.1.1.tgz(r-4.3-emscripten)
CPGLIB.pdf |CPGLIB.html✨
CPGLIB/json (API)
NEWS
| # Install 'CPGLIB' in R: |
| install.packages('CPGLIB', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
Uses libs:
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 2 years agofrom:3200a827f9. Checks:OK: 2. Indexed: no.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Oct 13 2024 |
| R-4.5-linux-x86_64 | OK | Oct 13 2024 |
Exports:cpgcv.cpgcv.ProxGradProxGrad
Dependencies:RcppRcppArmadillo
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Coefficients for CPGLIB Object | coef.CPGLIB |
| Coefficients for cv.CPGLIB Object | coef.cv.CPGLIB |
| Coefficients for cv.ProxGrad Object | coef.cv.ProxGrad |
| Coefficients for ProxGrad Object | coef.ProxGrad |
| Competing Proximal Gradients Library for Ensembles of Generalized Linear Models | cpg |
| Competing Proximal Gradients Library for Ensembles of Generalized Linear Models - Cross-Validation | cv.cpg |
| Generalized Linear Models via Proximal Gradients - Cross-validation | cv.ProxGrad |
| Predictions for CPGLIB Object | predict.CPGLIB |
| Predictions for cv.ProxGrad Object | predict.cv.CPGLIB |
| Predictions for cv.ProxGrad Object | predict.cv.ProxGrad |
| Predictions for ProxGrad Object | predict.ProxGrad |
| Generalized Linear Models via Proximal Gradients | ProxGrad |
