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>.

Version: 1.0-0
Depends: fICA, JADE, graphics
Imports: Rcpp (≥ 0.11.0), stats, parallel
LinkingTo: Rcpp, RcppArmadillo
Published: 2026-02-11
DOI: 10.32614/CRAN.package.TICM (may not be active yet)
Author: Klaus Nordhausen ORCID iD [aut, cre], Marc Hallin ORCID iD [aut], Simos Meintanis ORCID iD [aut]
Maintainer: Klaus Nordhausen <klausnordhausenR at gmail.com>
License: GPL (≥ 3)
NeedsCompilation: yes
Materials: ChangeLog
CRAN checks: TICM results

Documentation:

Reference manual: TICM.html , TICM.pdf

Downloads:

Package source: TICM_1.0-0.tar.gz
Windows binaries: r-devel: TICM_1.0-0.zip, r-release: not available, r-oldrel: not available
macOS binaries: r-release (arm64): TICM_1.0-0.tgz, r-oldrel (arm64): TICM_1.0-0.tgz, r-release (x86_64): TICM_1.0-0.tgz, r-oldrel (x86_64): TICM_1.0-0.tgz

Linking:

Please use the canonical form https://CRAN.R-project.org/package=TICM to link to this page.