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

Documentation:

Reference manual:

NPflow.pdf

Downloads:

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 (arm64): NPflow_0.13.3.tgz, r-oldrel (arm64): NPflow_0.13.3.tgz, r-release (x86_64): NPflow_0.13.3.tgz, r-oldrel (x86_64): NPflow_0.13.3.tgz
Old sources:	NPflow archive

Reverse dependencies:

Reverse imports:

bqror, WeMix

Linking:

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