Bayesian Nonparametrics for Automatic Gating of Flow-Cytometry Data

Dirichlet process mixture of multivariate normal, skew normal or skew t-distributions modeling oriented towards flow-cytometry data preprocessing applications.


Main changes in Version 0.10.0 (2016-05-02):

  • Optimization of the log-posterior computation for normal and skew normal distributions
  • Improvement of the parallel sampler for normal distributions
  • Added arguments in DPMGibs... funcctions to allow more informative priors if needed
  • Bug fix: log of integers disambiguated in C++ function (compilation error under Solaris)

Reference manual

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0.13.1 by Boris P. Hejblum, 4 months ago

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Browse source code at

Authors: Boris P. Hejblum [aut, cre], Chariff Alkhassim [aut], Francois Caron [aut]

Documentation:   PDF Manual  

LGPL-3 | file LICENSE license

Imports graphics, stats, grDevices, ellipse, fastcluster, gplots, ggplot2, pheatmap, reshape2

Depends on Rcpp, truncnorm

Suggests foreach, parallel, doParallel, itertools, microbenchmark

Linking to Rcpp, RcppArmadillo

See at CRAN