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
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 143 downloads 3 exports 6 dependencies

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

TargetResultTimeFilesSyslog
linux-devel-arm64OK132
linux-devel-x86_64OK118
source / vignettesOK166
linux-release-arm64OK136
linux-release-x86_64OK162
wasm-releaseOK107

Exports:icm_testind_testplot.ticm

Dependencies:clueclusterfICAJADERcppRcppArmadillo