| burn.DPMMclust | Burning MCMC iterations from a Dirichlet Process Mixture... |
| cluster_est_binder | Point estimate of the partition for the Binder loss function |
| cluster_est_Fmeasure | Point estimate of the partition using the F-measure as the... |
| cluster_est_Mbinder_norm | Point estimate of the partition using a modified Binder loss... |
| cluster_est_pear | Gets a point estimate of the partition using posterior... |
| cytoScatter | Scatterplot of flow cytometry data |
| DPMGibbsN | Slice Sampling of the Dirichlet Process Mixture Model with a... |
| DPMGibbsN_parallel | Slice Sampling of the Dirichlet Process Mixture Model with a... |
| DPMGibbsN_SeqPrior | Slice Sampling of Dirichlet Process Mixture of Gaussian... |
| DPMGibbsSkewN | Slice Sampling of Dirichlet Process Mixture of skew normal... |
| DPMGibbsSkewN_parallel | Parallel Implementation of Slice Sampling of Dirichlet... |
| DPMGibbsSkewT | Slice Sampling of Dirichlet Process Mixture of skew Student's... |
| DPMGibbsSkewT_parallel | Slice Sampling of Dirichlet Process Mixture of skew Student's... |
| DPMGibbsSkewT_SeqPrior | Slice Sampling of Dirichlet Process Mixture of skew Student's... |
| DPMGibbsSkewT_SeqPrior_parallel | Slice Sampling of Dirichlet Process Mixture of skew Student's... |
| DPMpost | Posterior estimation for Dirichlet process mixture of... |
| evalClustLoss | ELoss of a partition point estimate compared to a gold... |
| 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... |
| Fmeasure_costC | Multiple cost computations with the F-measure as the loss... |
| invwishrnd | Sample from a inverse-Wishart distribution |
| lgamma_mv | Multivariate log gamma function |
| MAP_sNiW_mmEM | EM MAP for mixture of sNiW |
| methods.summaryDPMMclust | Methods for a summary of a 'DPMMclust' object |
| MLE_gamma | MLE for Gamma distribution |
| MLE_NiW_mmEM | EM MLE for mixture of NiW |
| MLE_sNiW | MLE for sNiW distributed observations |
| MLE_sNiW_mmEM | EM MLE for mixture of sNiW |
| mmNiWpdf | multivariate Normal inverse Wishart probability density... |
| mmNiWpdfC | C++ implementation of multivariate Normal inverse Wishart... |
| mmsNiWlogpdf | Probability density function of multiple structured Normal... |
| mmsNiWpdfC | C++ implementation of multivariate structured Normal inverse... |
| mmvnpdfC | C++ implementation of multivariate Normal probability density... |
| mmvsnpdfC | C++ implementation of multivariate skew Normal probability... |
| mmvstpdfC | C++ implementation of multivariate Normal probability density... |
| mmvtpdfC | C++ implementation of multivariate Normal probability density... |
| mvnlikC | C++ implementation of multivariate Normal probability density... |
| mvnpdf | multivariate-Normal probability density function |
| mvnpdfC | C++ implementation of multivariate normal probability density... |
| mvsnlikC | C++ implementation of multivariate skew normal likelihood... |
| mvsnpdf | multivariate Skew-Normal probability density function |
| mvstlikC | C++ implementation of multivariate skew t likelihood function... |
| mvstpdf | multivariate skew-t probability density function |
| mvtpdf | multivariate Student's t-distribution probability density... |
| NPflow-package | Bayesian Nonparametrics for Automatic Gating of Flow... |
| NuMatParC | C++ implementation of similarity matrix computation using... |
| plot_ConvDPM | Convergence diagnostic plots |
| plot_DPM | Plot of a Dirichlet process mixture of gaussian distribution... |
| plot_DPMsn | Plot of a Dirichlet process mixture of skew normal... |
| plot_DPMst | Plot of a Dirichlet process mixture of skew t-distribution... |
| postProcess.DPMMclust | Post-processing Dirichlet Process Mixture Models results to... |
| priormix | Construction of an Empirical based prior |
| rCRP | Generating cluster data from the Chinese Restaurant Process |
| rNiW | Sample from a Normal inverse-Wishart distribution whose... |
| rNNiW | Sample from a normal inverse Wishart distribution whose... |
| sample_alpha | Sampler for the concentration parameter of a Dirichlet... |
| sampleClassC | C++ implementation of the multinomial sampling from a matrix... |
| similarityMat | Computes the co-clustering (or similarity) matrix |
| similarityMatC | C++ implementation |
| similarityMat_nocostC | C++ implementation |
| summary.DPMMclust | Summarizing Dirichlet Process Mixture Models |
| traceEpsC | C++ implementation of residual trace computation step used... |
| update_SS | Return updated sufficient statistics S with new data matrix z |
| update_SSsn | Return updated sufficient statistics S with new data matrix z |
| update_SSst | Return updated sufficient statistics S for skew... |
| vclust2mcoclustC | C++ implementation |
| wishrnd | Sample from a Wishart distribution |
