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ProDenICA

1.1Package record

Product Density Estimation for ICA using Tilted Gaussian Density Estimates

0packages dependsuggested by 1
3.4Kdownloads / year
–test coverage
11/13flavors OK

Overview

About

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.

Install

Health

CRAN checks
2NOTE11OK
Check messages
NOTECRAN incoming feasibilityr-devel-linux-x86_64-debian-clang, r-devel-linux-x86_64-debian-gcc
Maintainer: ‘Trevor Hastie <hastie@stanford.edu>’

No Authors@R field in DESCRIPTION.
Please add one, modifying
  Authors@R: c(person(given = "Trevor",
                      family = "Hastie",
                      role = c("aut", "cre"),
                      email = "hastie@stanford.edu"),
               person(given = "Rob",
                      family = "Tibshirani",
                      role = "aut"))
as necessary.

CRAN check page ↗

Slowest check: 57 s · r-oldrel-windows-x86_64
Status changes
  • NOTE11 OK, 2 NOTE2026-09-08
  • ERROR10 OK, 2 NOTE, 1 ERROR2026-09-07
  • NOTE12 OK, 2 NOTE2026-03-10
Advisories

none known

Documentation

In release 1.1
READMENoVignettesNoNEWSNoCitation fileNoWebsitenot declared in DESCRIPTION
Help pages
8 (1 internal)
Examples that run
100%6 run in a plain check
Exported functions with examples
75%
Documented parameters
100%
Return-value docs
88%
Help pages citing references
63%

Downloads

3.4K
CRAN downloads in the past year
Rank #16,220 · ~9/day · ~283/mo
Daily download trend is not available in this view yet.
28230 days
76990 days
3.4K1 year
Compare downloads with other packages →
Also on70 r2u3 autocran

Dependencies

Declared dependencies
1 external dependency (excludes base and recommended)

Installing ProDenICA adds 3 packages (1 with compiled code, 579 KB of source tarballs). Heaviest: iterators 293 KB, gam 198 KB, foreach 88 KB.

Depends (1)
Imports (0)
none
LinkingTo (0)
none
Suggests (0)
none
Enhances (0)
none
Reverse dependencies
0direct
0indirect
Suggested by 1
Suggests, most downloaded first

People & History

People (from the free-text Author field) (2)

Maintainer since 1.0 (2010)

Releases (2)

Pick two releases to compare their code metrics.

  • R
    R 4.6.0 released · 2026-04-24
  • R
    R 4.5.0 released · 2025-04-11
  • R
    R 4.4.0 released · 2024-04-24
  • R
    R 4.3.0 released · 2023-04-21
  • R
    R 4.2.0 released · 2022-04-22
  • 1.1Latest
    record
    2022-02-21 · current release · diff ↗
  • R
    R 4.1.0 released · 2021-05-18
  • R
    R 4.0.0 released · 2020-04-24
  • R
    R 3.6.0 released · 2019-04-26
  • R
    R 3.5.0 released · 2018-04-23
  • R
    R 3.4.0 released · 2017-04-21
  • R
    R 3.3.0 released · 2016-05-03
  • R
    R 3.2.0 released · 2015-04-16
  • R
    R 3.1.0 released · 2014-04-10
  • R
    R 3.0.0 released · 2013-04-03
  • R
    R 2.15.0 released · 2012-03-30
Show 5 earlier eventsHide 5 earlier events
  • R
    R 2.14.0 released · 2011-10-31
  • R
    R 2.13.0 released · 2011-04-13
  • R
    R 2.12.0 released · 2010-10-15
  • 1.0
    record
    2010-05-01
  • R
    R 2.11.0 released · 2010-04-22

Package metadata

First published
2010-05-01
Total releases
2 / 16 yrs
License
GPL-2 OSI
Download size
8.6 KB

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("ProDenICA")

Cite the R Observatory

For a number measured here: a download total, a coverage figure, an archival date.

APA

Balamuta, J. J. (2026). R Observatory: Metrics for ProDenICA version 1.1 [Data set]. HJJB, LLC. Data release v2026-10-22. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-22, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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