A statistical hypothesis test for conditional independence. Given residuals from a sufficiently powerful regression, it tests whether the covariance of the residuals is vanishing. It can be applied to both discretely-observed functional data and multivariate data. Details of the method can be found in Anton Rask Lundborg, Rajen D. Shah and Jonas Peters (2022) <doi:10.1111/rssb.12544>.
Version: 3.0.1 Depends: R (≥ 4.0.0) Imports: CompQuadForm, Rcpp, splines LinkingTo: Rcpp Suggests: graphics, stats, utils, refund, testthat, knitr, rmarkdown, bookdown, ggplot2, reshape2, dplyr, tidyr Published: 2023-11-02 DOI: 10.32614/CRAN.package.ghcm Author: Anton Rask Lundborg [aut, cre], Rajen D. Shah [aut], Jonas Peters [aut] Maintainer: Anton Rask Lundborg <arl at math.ku.dk> BugReports: https://github.com/arlundborg/ghcm/issues License: MIT + file LICENSE URL: https://github.com/arlundborg/ghcm NeedsCompilation: yes Materials: README NEWS CRAN checks: ghcm results Documentation: Downloads: Linking:Please use the canonical form https://CRAN.R-project.org/package=ghcm to link to this page.
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