detect_support_type: Detect the type of support of some random variables

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

Detect the type of support of some random variables

Description

Given one or two sets of observations (samples), the function provides with the most plausible type of support for the underlying random variables to be studied. If less than 3 percents of the observations have different values, we consider that the support is discrete. Otherwise, we consider it as a continuous support.

Usage

detect_support_type(sample1, sample2 = NULL)

Arguments

sample1	The first sample of observations under study.
sample2	The second sample of observations under study.

Value

The type of support, either discrete or continuous.

Author(s)

Xavier Milhaud [e-mail]

Examples

## Simulate mixture data:
mixt1 <- twoComp_mixt(n = 1500, weight = 0.5,
                      comp.dist = list("norm", "norm"),
                      comp.param = list(list("mean" = 3, "sd" = 0.5),
                                        list("mean" = 0, "sd" = 1)))
data1 <- get_mixture_data(mixt1)
mixt2 <- twoComp_mixt(n = 2000, weight = 0.7,
                      comp.dist = list("norm", "norm"),
                      comp.param = list(list("mean" = 3, "sd" = 0.5),
                                        list("mean" = 5, "sd" = 2)))
data2 <- get_mixture_data(mixt2)
## Test the type of support:
detect_support_type(data1, data2)

admix documentation built on Sept. 9, 2025, 5:59 p.m.