reject_nullHyp: Extractor for the test decision

In admix: Package Admix for Admixture (aka Contamination) Models

Extractor for the test decision

Description

Provide the decision of the statistical test: reject or do not reject the null hypothesis.

Usage

reject_nullHyp(x)

Arguments

x	An object of class gaussianity_test, orthobasis_test or IBM_test.

Value

A boolean giving the result of the test, TRUE if the null hypothesis is rejected, otherwise FALSE.

Author(s)

Xavier Milhaud [e-mail]

Examples

mixt1 <- twoComp_mixt(n = 380, weight = 0.7,
                      comp.dist = list("norm", "norm"),
                      comp.param = list(list("mean" = -2, "sd" = 0.5),
                                        list("mean" = 0, "sd" = 1)))
mixt2 <- twoComp_mixt(n = 350, weight = 0.85,
                      comp.dist = list("norm", "norm"),
                      comp.param = list(list("mean" = -2, "sd" = 0.5),
                                        list("mean" = -1, "sd" = 1)))
data1 <- get_mixture_data(mixt1)
data2 <- get_mixture_data(mixt2)
admixMod1 <- admix_model(knownComp_dist = mixt1$comp.dist[[2]],
                         knownComp_param = mixt1$comp.param[[2]])
admixMod2 <- admix_model(knownComp_dist = mixt2$comp.dist[[2]],
                         knownComp_param = mixt2$comp.param[[2]])
x <- admix_test(samples = list(data1,data2), admixMod = list(admixMod1,admixMod2),
                conf_level = 0.95, test_method = "poly", ask_poly_param = FALSE, support = "Real")
reject_nullHyp(x)

admix documentation built on Jan. 8, 2026, 5:07 p.m.