Bayesian Nonparametrics for Automatic Gating of Flow-Cytometry Data

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... |

DPMGibbsSkewT_parallel | Slice Sampling of Dirichlet Process Mixture of skew... |

DPMGibbsSkewT_SeqPrior | Slice Sampling of Dirichlet Process Mixture of skew... |

DPMGibbsSkewT_SeqPrior_parallel | Slice Sampling of Dirichlet Process Mixture of skew... |

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 Fmeasure as the loss function |

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 coclustering (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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