Package: ghcm
Type: Package
Title: Functional Conditional Independence Testing with the GHCM
Version: 3.0.1
Authors@R: c(person("Anton Rask", "Lundborg", email = "arl@math.ku.dk",
  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 (2022) <doi:10.1111/rssb.12544>.
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
Imports: CompQuadForm, Rcpp, splines
Depends: R (>= 4.0.0)
RoxygenNote: 7.2.3
Suggests: graphics, stats, utils, refund, testthat, knitr, rmarkdown,
        bookdown, ggplot2, reshape2, dplyr, tidyr
URL: https://github.com/arlundborg/ghcm
BugReports: https://github.com/arlundborg/ghcm/issues
VignetteBuilder: knitr
LinkingTo: Rcpp
NeedsCompilation: yes
Packaged: 2023-11-02 10:57:37 UTC; lundborg
Author: Anton Rask Lundborg [aut, cre],
  Rajen D. Shah [aut],
  Jonas Peters [aut]
Maintainer: Anton Rask Lundborg <arl@math.ku.dk>
Repository: CRAN
Date/Publication: 2023-11-02 13:20:03 UTC
Built: R 4.4.0; x86_64-apple-darwin22.6.0; 2024-05-11 12:22:49 UTC; unix
