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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
DOI: 10.32614/CRAN.package.ProDenICA
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

Linking:

Please use the canonical form https://CRAN.R-project.org/package=ProDenICA to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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