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 |
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