Functional Conditional Independence Testing with the GHCM

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) .


ghcm

ghcm is a package to perform conditional independence tests on functional data.

For usage examples, see the package vignette.

Installation

The development version can be installed from GitHub with:

# install.packages("devtools")
devtools::install_github("ARLundborg/ghcm")

Reference manual

It appears you don't have a PDF plugin for this browser. You can click here to download the reference manual.

install.packages("ghcm")

3.0.1 by Anton Rask Lundborg, 3 years ago


https://github.com/arlundborg/ghcm


Report a bug at https://github.com/arlundborg/ghcm/issues


Browse source code at https://github.com/cran/ghcm


Authors: Anton Rask Lundborg [aut, cre] , Rajen D. Shah [aut] , Jonas Peters [aut]


Documentation:   PDF Manual  


MIT + file LICENSE license


Imports CompQuadForm, Rcpp, splines

Suggests graphics, stats, utils, refund, testthat, knitr, rmarkdown, bookdown, ggplot2, reshape2, dplyr, tidyr

Linking to Rcpp


See at CRAN