Dirichlet process mixture of multivariate normal, skew normal or skew t-distributions modeling oriented towards flow-cytometry data preprocessing applications. Method is detailed in: Hejblum, Alkhassimn, Gottardo, Caron & Thiebaut (2019) <doi:10.1214/18-AOAS1209>.
Version: | 0.13.3 |
Depends: | R (≥ 3.1), Rcpp (≥ 0.12.11), truncnorm |
Imports: | graphics, stats, grDevices, ellipse, fastcluster, ggplot2, pheatmap, reshape2 |
LinkingTo: | Rcpp, RcppArmadillo |
Suggests: | foreach, parallel, doParallel, itertools, microbenchmark |
Published: | 2020-02-06 |
Author: | Boris P Hejblum [aut, cre], Chariff Alkhassim [aut], Francois Caron [aut] |
Maintainer: | Boris P Hejblum <boris.hejblum at u-bordeaux.fr> |
BugReports: | https://github.com/borishejblum/NPflow/issues |
License: | LGPL-3 | file LICENSE |
NeedsCompilation: | yes |
Citation: | NPflow citation info |
Materials: | README NEWS |
In views: | Cluster |
CRAN checks: | NPflow results |
Reference manual: | NPflow.pdf |
Package source: | NPflow_0.13.3.tar.gz |
Windows binaries: | r-devel: NPflow_0.13.3.zip, r-release: NPflow_0.13.3.zip, r-oldrel: NPflow_0.13.3.zip |
macOS binaries: | r-release: NPflow_0.13.3.tgz, r-oldrel: NPflow_0.13.3.tgz |
Old sources: | NPflow archive |
Reverse imports: | bqror, WeMix |
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