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.

Version: 1.1
Depends: gam
Published: 2022-02-21
Author: Trevor Hastie, Rob Tibshirani
Maintainer: Trevor Hastie <hastie at stanford.edu>
License: GPL-2
URL: https://hastie.su.domains/ElemStatLearn/printings/ESLII_print12_toc.pdf
NeedsCompilation: no
CRAN checks: ProDenICA results

Documentation:

Reference manual: ProDenICA.pdf

Downloads:

Package source: ProDenICA_1.1.tar.gz
Windows binaries: r-devel: ProDenICA_1.1.zip, r-release: ProDenICA_1.1.zip, r-oldrel: ProDenICA_1.1.zip
macOS binaries: r-release (arm64): ProDenICA_1.1.tgz, r-oldrel (arm64): ProDenICA_1.1.tgz, r-release (x86_64): ProDenICA_1.1.tgz, r-oldrel (x86_64): ProDenICA_1.1.tgz
Old sources: ProDenICA archive

Reverse dependencies:

Reverse suggests: steadyICA

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