ProDenICA
1.1Product Density Estimation for ICA using Tilted Gaussian Density Estimates
Overview
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
- NOTE r-devel-linux-x86_64-debian-clang
- NOTE r-devel-linux-x86_64-debian-gcc
- NOTE2026-03-1012 OK · 2 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
Documentation
- Examples that run
- 100%
- Documented parameters
- 100%
- Return-value docs
- 88%
- References docs
- 63%
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- RR 4.6.0 released · 2026-04-24
- RR 4.5.0 released · 2025-04-11
- RR 4.4.0 released · 2024-04-24
- RR 4.3.0 released · 2023-04-21
- RR 4.2.0 released · 2022-04-22
- 1.1Latest
- RR 4.1.0 released · 2021-05-18
- RR 4.0.0 released · 2020-04-24
- RR 3.6.0 released · 2019-04-26
- RR 3.5.0 released · 2018-04-23
- RR 3.4.0 released · 2017-04-21
- RR 3.3.0 released · 2016-05-03
- RR 3.2.0 released · 2015-04-16
- RR 3.1.0 released · 2014-04-10
- RR 3.0.0 released · 2013-04-03
- RR 2.15.0 released · 2012-03-30
Show 5 earlier events
- RR 2.14.0 released · 2011-10-31
- RR 2.13.0 released · 2011-04-13
- RR 2.12.0 released · 2010-10-15
- 1.02010-05-01
- RR 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
- Installed size
- not tracked yet
- With dependencies
- not tracked yet
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