BVdk_ML_varCov_estimators
                        Maximum Likelihood estimation of the variance
                        of the unknown density variance estimator in an
                        admixture model
BVdk_contrast           Contrast as defined in Bordes & Vandekerkhove
                        (2010)
BVdk_contrast_gradient
                        Gradient of the contrast as defined in Bordes &
                        Vandekerkhove (2010)
BVdk_estimParam         Estimation of the parameters in a two-component
                        admixture model with symmetric unknown density
BVdk_varCov_estimators
                        Estimation of the variance of the estimators in
                        admixture models with symmetric unknown
                        density.
IBM_2samples_test       Equality test of unknown component
                        distributions in two admixture models with IBM
                        approach
IBM_empirical_contrast
                        Empirical computation of the contrast in the
                        Inversion - Best Matching (IBM) method
IBM_estimProp           Estimate the weights related to the proportions
                        of the unknown components of the two admixture
                        models
IBM_estimVarCov_gaussVect
                        Nonparametric estimation of the
                        variance-covariance matrix of the gaussian
                        vector in IBM approach
IBM_gap                 Difference between the unknown empirical
                        cumulative distribution functions in two
                        admixture models
IBM_greenLight_criterion
                        Green-light criterion to decide whether to
                        perform full equality test between unknown
                        components between two admixture models
IBM_hessian_contrast    Hessian matrix of the contrast function in the
                        Inversion - Best Matching (IBM) method
IBM_k_samples_test      Equality test of unknown component
                        distributions in K admixture models, with IBM
                        approach
IBM_tabul_stochasticInteg
                        Distribution of the contrast in the Inversion -
                        Best Matching (IBM) method
IBM_theoretical_contrast
                        Theoretical contrast in the Inversion - Best
                        Matching (IBM) method
IBM_theoretical_gap     Difference between unknown cumulative
                        distribution functions of admixture models at
                        some given point
PatraSen_cv_mixmodel    Cross-validation estimate (by Patra and Sen) of
                        the unknown component weight as well as the
                        unknown distribution in an admixture model
PatraSen_density_est    Compute the estimate of the density of the
                        unknown component in an admixture model
PatraSen_dist_calc      Compute the distance to be minimized using
                        Patra and Sen estimation technique in admixture
                        models
PatraSen_est_mix_model
                        Estimate by Patra and Sen the unknown component
                        weight as well as the unknown distribution in
                        admixture models
admix_clustering        Clustering of K populations following admixture
                        models
admix_estim             Estimate the unknown parameters of the
                        admixture model(s) under study
admix_test              Hypothesis test between unknown components of
                        the admixture models under study
allGalaxies             Four galaxies (Carina, Sextans, Sculptor,
                        Fornax) measurements of heliocentric velocities
                        from SIMBAD astronomical database
decontaminated_cdf      Provide the decontaminated cumulative
                        distribution function (CDF) of the unknown
                        component in an admixture model
decontaminated_density
                        Provide the decontaminated density of the
                        unknown component in an admixture model.
detect_support_type     Detect the support of the random variables
                        under study
estimVarCov_empProcess
                        Variance-covariance matrix of the empirical
                        process in an admixture model
gaussianity_test        One-sample gaussianity test in admixture models
                        using Bordes and Vandekerkhove estimation
                        method
is_equal_knownComp      Test for equality of the known components
                        between two admixture models
kernel_cdf              Kernel estimation
kernel_density          Kernel estimation
knownComp_to_uniform    Transforms the known component of the admixture
                        distribution to a Uniform distribution
milkyWay                Heliocentric velocity measured for the Milky
                        Way (from Walker, M. G., M. Mateo, E. W.
                        Olszewski, O. Y. Gnedin, X. Wang, B. Sen, and
                        M. Woodroofe (2007). Velocity dispersion
                        profiles of seven dwarf spheroidal galaxies.
                        Astrophysical J. 667(1), L53–L56).
mortality_sample        Dataset giving exposure-to-death (population
                        size) and number of deaths for males in eleven
                        european countries, with ages ranging from 30
                        years old to 85 years old.
orthoBasis_coef         Compute expansion coefficients in a given
                        orthonormal polynomial basis.
orthoBasis_test_H0      Equality test of unknown components between two
                        admixture models using polynomial basis
                        expansions
plot.decontaminated_density
                        Plot the decontaminated density of the unknown
                        component for an estimated admixture model
plot_mixt_density       Plot the density of some given sample(s) with
                        mixture distributions.
poly_orthonormal_basis
                        Build an orthonormal basis to decompose some
                        given probability density function
print.admix_cluster     Results of the clustering algorithm performed
                        over the K populations following admixture
                        models.
print.admix_estim       Print the results of estimated parameters from
                        K admixture models
print.admix_test        Print the results of statistical test for
                        equality of unknown component distributions in
                        admixture models
rsimmix                 Simulation of a two-component mixture model
rsimmix_mix             Simulation of a two-component gaussian mixture
                        with one component following a two-component
                        gaussian mixture
sim_gaussianProcess     Simulation of a Gaussian process
stmf_small              Short-term Mortality Fluctuations (STMF) data
                        series, restricted to 6 countries (Belgium,
                        France, Italy, Netherlands, Spain, Germany).
two_samples_test        Two-samples hypothesis test on the unknown
                        component in admixture models
