Package: ProDenICA 1.1
ProDenICA: Product Density Estimation for ICA using Tilted Gaussian Density Estimates
A direct and flexible method for estimating an ICA model. This approach estimates the densities for each component directly via a tilted Gaussian. The tilt functions are estimated via a GAM Poisson model. Details can be found in "Elements of Statistical Learning (2nd Edition)" in Section 14.7.4.
Authors:
ProDenICA_1.1.tar.gz
ProDenICA_1.1.zip(r-4.5)ProDenICA_1.1.zip(r-4.4)ProDenICA_1.1.zip(r-4.3)
ProDenICA_1.1.tgz(r-4.5-any)ProDenICA_1.1.tgz(r-4.4-any)ProDenICA_1.1.tgz(r-4.3-any)
ProDenICA_1.1.tar.gz(r-4.5-noble)ProDenICA_1.1.tar.gz(r-4.4-noble)
ProDenICA_1.1.tgz(r-4.4-emscripten)ProDenICA_1.1.tgz(r-4.3-emscripten)
ProDenICA.pdf |ProDenICA.html✨
ProDenICA/json (API)
| # Install 'ProDenICA' in R: |
| install.packages('ProDenICA', repos = c('https://trevorhastie.r-universe.dev', 'https://cloud.r-project.org')) |
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 3 years agofrom:7cd748e3ec. Checks:8 OK. Indexed: yes.
| Target | Result | Latest binary |
|---|---|---|
| Doc / Vignettes | OK | Feb 14 2025 |
| R-4.5-win | OK | Feb 14 2025 |
| R-4.5-mac | OK | Feb 14 2025 |
| R-4.5-linux | OK | Feb 14 2025 |
| R-4.4-win | OK | Feb 14 2025 |
| R-4.4-mac | OK | Feb 14 2025 |
| R-4.3-win | OK | Feb 14 2025 |
| R-4.3-mac | OK | Feb 14 2025 |
Exports:amarid.gaussmixdjordandmix.dexpG0G1GPoisICAorthWmixmatmodulusProDenICAr.gaussmixrjordanrmix.dexp
