admix (version 2.4.2)

admix_model: Define the distribution/parameter(s) of the known component

Description

Create an object of class 'admix_model', containing the information about the known component distribution in the admixture model. An admixture (aka contamination) model is a two-component mixture model with one known component. Both the second component distribution and the mixing weight are unknown.

Usage

admix_model(knownComp_dist, knownComp_param)

Value

An object of class admix_model, containing 2 attributes: 1) a list that gives the information about the distributions involved in the two-component mixture model (the unknown and the known ones); 2) a list that gives the information about the corresponding parameters of those distributions.

Arguments

knownComp_dist

(Character) The name of the distribution (specified as in R glossary) of the known component of the admixture model

knownComp_param

(Character) A vector of the names of the parameters (specified as in R glossary) involved in the chosen known distribution, with their values.

Author

Xavier Milhaud

Examples

admix_model(knownComp_dist = "norm", knownComp_param = list("mean"=0, "sd"=1))
admix_model(knownComp_dist = "exp", knownComp_param = list("rate"=2))
admix_model(knownComp_dist = "pois", knownComp_param = list("lambda"=5))
admix_model(knownComp_dist = "multinom", knownComp_param = list("size"=1, "prob"=c(0.2,0.8,0.1)))