Testing the Validity of the Independent Component Model Assumption R package TICM version 1.0-0 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>. Software Depends: fICA, JADE, graphics Imports: Rcpp (>= 0.11.0), stats, parallel LinkingTo: Rcpp, RcppArmadillo Klaus Nordhausen <klausnordhausenR@gmail.com> Comprehensive R Archive Network (CRAN) Klaus Nordhausen [aut, cre] (ORCID: <https://orcid.org/0000-0002-3758-8501>), Marc Hallin [aut] (ORCID: <https://orcid.org/0000-0002-6599-7409>), Simos Meintanis [aut] (ORCID: <https://orcid.org/0000-0003-4777-0486>) GPL (>= 3) 2026-02-11 application/tgz https://CRAN.R-project.org/package=TICM doi:10.32614/CRAN.package.TICM