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:Trevor Hastie, Rob Tibshirani

ProDenICA_1.1.tar.gz
ProDenICA_1.1.zip(r-4.7)ProDenICA_1.1.zip(r-4.6)ProDenICA_1.1.zip(r-4.5)
ProDenICA_1.1.tgz(r-4.6-any)ProDenICA_1.1.tgz(r-4.5-any)
ProDenICA_1.1.tar.gz(r-4.7-any)ProDenICA_1.1.tar.gz(r-4.6-any)
ProDenICA_1.1.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
ProDenICA/json (API)

# Install 'ProDenICA' in R:
install.packages('ProDenICA', repos = c('https://trevorhastie.r-universe.dev', 'https://cloud.r-project.org'))

On CRAN:

Conda:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

2.23 score 2 stars 21 scripts 227 downloads 4 mentions 14 exports 4 dependencies

Last updated from:7cd748e3ec. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK101
source / vignettesOK155
linux-release-x86_64OK97
macos-release-arm64OK108
macos-oldrel-arm64OK85
windows-develOK68
windows-releaseOK75
windows-oldrelOK61
wasm-releaseOK81

Exports:amarid.gaussmixdjordandmix.dexpG0G1GPoisICAorthWmixmatmodulusProDenICAr.gaussmixrjordanrmix.dexp

Dependencies:codetoolsforeachgamiterators