comet: Covariance measure tests with formula interface

In comets: Covariance Measure Tests for Conditional Independence

Covariance measure tests with formula interface

Description

Covariance measure tests with formula interface

Usage

comet(formula, data, test = c("gcm", "pcm", "wgcm"), ...)

comets(formula, data, test = c("gcm", "pcm", "wgcm"), ...)

Arguments

formula	Formula of the form Y ~ X | Z for testing Y independent of X given Z.
data	Data.frame containing the variables in formula.
test	Character string; "gcm", "pcm", or "wgcm".
...	Additional arguments passed to test.

Details

Formula-based interface for the generalised and projected covariance measure tests.

Value

Object of class "gcm", "wgcm" or "pcm" and "htest". See gcm and pcm for details.

References

Kook, L. & Lundborg A. R. (2024). Algorithm-agnostic significance testing in supervised learning with multimodal data. Briefings in Bioinformatics, 25(6), 2024. \Sexpr[results=rd]{tools:::Rd_expr_doi("10.1093/bib/bbae475")}

Examples

tn <- 1e2
df <- data.frame(y = rnorm(tn), x1 = rnorm(tn), x2 = rnorm(tn), z = rnorm(tn))
comet(y ~ x1 + x2 | z, data = df, test = "gcm")

comets documentation built on April 4, 2025, 1:24 a.m.