NPflow: 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. 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

Downloads:

Reference manual: NPflow.pdf
Package source: NPflow_0.13.3.tar.gz
Windows binaries: r-prerelease: NPflow_0.13.3.zip, r-release: NPflow_0.13.3.zip, r-oldrel: NPflow_0.13.3.zip
macOS binaries: r-prerelease: NPflow_0.13.3.tgz, r-release: NPflow_0.13.3.tgz, r-oldrel: NPflow_0.13.3.tgz
Old sources: NPflow archive

Reverse dependencies:

Reverse imports: bqror, WeMix

Linking:

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