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.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
1.1 |
rolling linux/jammy R-4.5 | ProDenICA_1.1.tar.gz |
48.1 KiB |
1.1 |
rolling linux/noble R-4.5 | ProDenICA_1.1.tar.gz |
48.1 KiB |
1.1 |
rolling source/ R- | ProDenICA_1.1.tar.gz |
8.6 KiB |
1.1 |
latest linux/jammy R-4.5 | ProDenICA_1.1.tar.gz |
48.1 KiB |
1.1 |
latest linux/noble R-4.5 | ProDenICA_1.1.tar.gz |
48.1 KiB |
1.1 |
latest source/ R- | ProDenICA_1.1.tar.gz |
8.6 KiB |
1.1 |
2026-04-26 source/ R- | ProDenICA_1.1.tar.gz |
8.6 KiB |
1.1 |
2026-04-23 source/ R- | ProDenICA_1.1.tar.gz |
8.6 KiB |
1.1 |
2026-04-09 windows/windows R-4.5 | ProDenICA_1.1.zip |
51.0 KiB |
1.1 |
2025-04-20 source/ R- | ProDenICA_1.1.tar.gz |
8.6 KiB |