Package: TICM 1.0-0

Klaus Nordhausen

TICM: Testing the Validity of the Independent Component Model Assumption

Description: Provides affine-invariant, distribution-free tests of multivariate independence, applied either directly to observed data or to estimated independent components. In the latter case, the procedures can be used to assess the validity of independent component models. The tests are based on L2-type distances between characteristic functions, with inference carried out using permutation or bootstrap resampling schemes. The methods are described in Hallin et al. (2024) <doi:10.48550/arXiv.2404.07632>.

Authors:Klaus Nordhausen [aut, cre], Marc Hallin [aut], Simos Meintanis [aut]

TICM_1.0-0.tar.gz
TICM_1.0-0.tar.gz(r-4.7-arm64)TICM_1.0-0.tar.gz(r-4.7-x86_64)TICM_1.0-0.tar.gz(r-4.6-arm64)TICM_1.0-0.tar.gz(r-4.6-x86_64)
TICM_1.0-0.tgz(r-4.6-emscripten)
manual.pdf |manual.html
DESCRIPTION
card.svg |card.png
TICM/json (API)

# Install 'TICM' in R:
install.packages('TICM', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))
Uses libs:
  • c++– GNU Standard C++ Library v3

On CRAN:

Conda:

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

cpp

1.00 score 196 downloads 3 exports 6 dependencies

Last updated from:025e683107. Checks:6 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-arm64OK139
linux-devel-x86_64OK126
source / vignettesOK164
linux-release-arm64OK137
linux-release-x86_64OK119
wasm-releaseOK108

Exports:icm_testind_testplot.ticm

Dependencies:clueclusterfICAJADERcppRcppArmadillo