Package: ghcm
Type: Package
Title: Functional Conditional Independence Testing with the GHCM
Version: 3.0.0
Authors@R: c(person("Anton Rask", "Lundborg", email = "a.lundborg@statslab.cam.ac.uk",
  role = c("aut", "cre")),
  person("Rajen D.", "Shah", role = c("aut")),
  person("Jonas", "Peters", role = c("aut")))
Description: 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 (2021) <arXiv:2101.07108>.
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
Imports: graphics, MASS, refund, stats, utils, CompQuadForm, Rcpp,
        splines
Depends: R (>= 4.0.0)
RoxygenNote: 7.1.2
Suggests: testthat, knitr, rmarkdown, bookdown,
        GeneralisedCovarianceMeasure, ggplot2, reshape2, dplyr, tidyr
URL: https://github.com/arlundborg/ghcm
BugReports: https://github.com/arlundborg/ghcm/issues
VignetteBuilder: knitr
LinkingTo: Rcpp
NeedsCompilation: yes
Packaged: 2022-02-16 14:07:42 UTC; lundborg
Author: Anton Rask Lundborg [aut, cre],
  Rajen D. Shah [aut],
  Jonas Peters [aut]
Maintainer: Anton Rask Lundborg <a.lundborg@statslab.cam.ac.uk>
Repository: CRAN
Date/Publication: 2022-02-20 16:20:02 UTC
Built: R 4.2.0; aarch64-apple-darwin20; 2022-03-23 05:02:45 UTC; unix
Archs: ghcm.so.dSYM
