DPMGibbsN               Slice Sampling of the Dirichlet Process Mixture
                        Model with a prior on alpha
DPMGibbsN_SeqPrior      Slice Sampling of Dirichlet Process Mixture of
                        Gaussian distributions
DPMGibbsN_parallel      Slice Sampling of the Dirichlet Process Mixture
                        Model with a prior on alpha
DPMGibbsSkewN           Slice Sampling of Dirichlet Process Mixture of
                        skew normal distributions
DPMGibbsSkewN_parallel
                        Parallel Implementation of Slice Sampling of
                        Dirichlet Process Mixture of skew normal
                        distributions
DPMGibbsSkewT           Slice Sampling of Dirichlet Process Mixture of
                        skew Student's t-distributions
DPMGibbsSkewT_SeqPrior
                        Slice Sampling of Dirichlet Process Mixture of
                        skew Student's t-distributions
DPMGibbsSkewT_SeqPrior_parallel
                        Slice Sampling of Dirichlet Process Mixture of
                        skew Student's t-distributions
DPMGibbsSkewT_parallel
                        Slice Sampling of Dirichlet Process Mixture of
                        skew Student's t-distributions
DPMpost                 Posterior estimation for Dirichlet process
                        mixture of multivariate (potentially skew)
                        distributions models
Flimited                Compute a limited F-measure
FmeasureC               C++ implementation of the F-measure computation
FmeasureC_no0           C++ implementation of the F-measure computation
                        without the reference class 0
Fmeasure_costC          Multiple cost computations with the F-measure
                        as the loss function
MAP_sNiW_mmEM           EM MAP for mixture of sNiW
MLE_NiW_mmEM            EM MLE for mixture of NiW
MLE_gamma               MLE for Gamma distribution
MLE_sNiW                MLE for sNiW distributed observations
MLE_sNiW_mmEM           EM MLE for mixture of sNiW
NPflow-package          Bayesian Nonparametrics for Automatic Gating of
                        Flow Cytometry data
NuMatParC               C++ implementation of similarity matrix
                        computation using pre-computed distances
burn.DPMMclust          Burning MCMC iterations from a Dirichlet
                        Process Mixture Model.
cluster_est_Fmeasure    Point estimate of the partition using the
                        F-measure as the cost function.
cluster_est_Mbinder_norm
                        Point estimate of the partition using a
                        modified Binder loss function
cluster_est_binder      Point estimate of the partition for the Binder
                        loss function
cluster_est_pear        Gets a point estimate of the partition using
                        posterior expected adjusted Rand index (PEAR)
cytoScatter             Scatterplot of flow cytometry data
evalClustLoss           ELoss of a partition point estimate compared to
                        a gold standard
lgamma_mv               Multivariate log gamma function
mmNiWpdf                multivariate Normal inverse Wishart probability
                        density function for multiple inputs
mmNiWpdfC               C++ implementation of multivariate Normal
                        inverse Wishart probability density function
                        for multiple inputs
mmsNiWlogpdf            Probability density function of multiple
                        structured Normal inverse Wishart
mmsNiWpdfC              C++ implementation of multivariate structured
                        Normal inverse Wishart probability density
                        function for multiple inputs
mmvnpdfC                C++ implementation of multivariate Normal
                        probability density function for multiple
                        inputs
mmvsnpdfC               C++ implementation of multivariate skew Normal
                        probability density function for multiple
                        inputs
mmvstpdfC               C++ implementation of multivariate Normal
                        probability density function for multiple
                        inputs
mmvtpdfC                C++ implementation of multivariate Normal
                        probability density function for multiple
                        inputs
mvnlikC                 C++ implementation of multivariate Normal
                        probability density function for multiple
                        inputs
mvnpdf                  multivariate-Normal probability density
                        function
mvnpdfC                 C++ implementation of multivariate normal
                        probability density function for multiple
                        inputs
mvsnlikC                C++ implementation of multivariate skew normal
                        likelihood function for multiple inputs
mvsnpdf                 multivariate Skew-Normal probability density
                        function
mvstlikC                C++ implementation of multivariate skew t
                        likelihood function for multiple inputs
mvstpdf                 multivariate skew-t probability density
                        function
mvtpdf                  multivariate Student's t-distribution
                        probability density function
plot_ConvDPM            Convergence diagnostic plots
plot_DPM                Plot of a Dirichlet process mixture of gaussian
                        distribution partition
plot_DPMsn              Plot of a Dirichlet process mixture of skew
                        normal distribution partition
plot_DPMst              Plot of a Dirichlet process mixture of skew
                        t-distribution partition
postProcess.DPMMclust   Post-processing Dirichlet Process Mixture
                        Models results to get a mixture distribution of
                        the posterior locations
print.summaryDPMMclust
                        Methods for a summary of a 'DPMMclust' object
priormix                Construction of an Empirical based prior
rCRP                    Generating cluster data from the Chinese
                        Restaurant Process
sample_alpha            Sampler for the concentration parameter of a
                        Dirichlet process
similarityMat           Computes the co-clustering (or similarity)
                        matrix
similarityMatC          C++ implementation
similarityMat_nocostC   C++ implementation
summary.DPMMclust       Summarizing Dirichlet Process Mixture Models
vclust2mcoclustC        C++ implementation
