Package Admix for Admixture (aka Contamination) Models
Cluster K populations following admixture models
Estimate the unknown weight in an admixture model
Define the distribution/parameter(s) of the known component
Equality test for the unknown components in admixture models
admix: Package Admix for Admixture (aka Contamination) Models
Estimates the decontaminated CDF of the unknown component in an admixt...
Probability density function of the unknown component
Detect the type of support of some random variables
Estimation of the admixture parameters by Bordes & Vandekerkhove (2010...
Estimate weights of unknown components from two admixtures using IBM
Estimates in an admixture using Patra and Sen approach
Gaussianity test in an admixture model
Extractor for members of clusters
Extractor for cluster sizes
Extractor for discrepancies b/w unknown components
Extractor for pairwise discrepancy rankings
Extractor for known component(s) in admixture model(s)
Extractor for estimated mixing weights
Extractor for simulated data from two-component mixture
Extractor for components involved in test statistic
Extractor for tabulated distribution in the k-sample test
Equality test of K unknown component distributions
Equality of known components in two admixture models
Equality test of two unknown component distributions using polynomial ...
Plot method for objects of class admix_model
Plot method for object of class decontaminated_density
Plot the empirical mixture pdf
Print method for object of class 'admix_cluster'
Print method for object of class admix_estim
Print method for objects of class admix_model
Print method for object of class decontaminated_density
Print method for objects 'estim_BVdk'
Print method for objects of class 'estim_IBM'
Print method for objects of class 'estim_PS'
Print method for objects twoComp_mixt
Extractor for the test decision
Summary method for object of class 'admix_cluster'
Summary method for object of class admix_estim
Summary method for objects of class admix_model
Summary method for object of class decontaminated_density
Summary method for objects 'estim_BVdk'
Summary method for objects 'estim_IBM'
Summary method for objects 'estim_PS'
Summary method for objects twoComp_mixt
Simulation of a two-component mixture model
Extractor for the selected rank in the test statistic
Implements techniques to estimate the unknown quantities related to two-component admixture models, where the two components can belong to any distribution (note that in the case of multinomial mixtures, the two components must belong to the same family). Estimation methods depend on the assumptions made on the unknown component density; see Bordes and Vandekerkhove (2010) <doi:10.3103/S1066530710010023>, Patra and Sen (2016) <doi:10.1111/rssb.12148>, and Milhaud, Pommeret, Salhi, Vandekerkhove (2024) <doi:10.3150/23-BEJ1593>. In practice, one can estimate both the mixture weight and the unknown component density in a wide variety of frameworks. On top of that, hypothesis tests can be performed in one and two-sample contexts to test the unknown component density (see Milhaud, Pommeret, Salhi and Vandekerkhove (2022) <doi:10.1016/j.jspi.2021.05.010>, and Milhaud, Pommeret, Salhi, Vandekerkhove (2024) <doi:10.3150/23-BEJ1593>). Finally, clustering of unknown mixture components is also feasible in a K-sample setting (see Milhaud, Pommeret, Salhi, Vandekerkhove (2024) <https://jmlr.org/papers/v25/23-0914.html>).
Useful links