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: |
0.13.5 |
Depends: |
R (≥ 3.1), Rcpp (≥ 0.12.11), truncnorm |
Imports: |
graphics, stats, grDevices, ellipse, fastcluster, ggplot2, pheatmap, reshape2, GGally |
LinkingTo: |
Rcpp, RcppArmadillo |
Suggests: |
foreach, parallel, doParallel, itertools, microbenchmark |
Published: |
2024-01-13 |
DOI: |
10.32614/CRAN.package.NPflow |
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/sistm/NPflow/issues |
License: |
LGPL-3 | file LICENSE |
NeedsCompilation: |
yes |
Citation: |
NPflow citation info |
Materials: |
README NEWS |
In views: |
Cluster |
CRAN checks: |
NPflow results |
Documentation:
Downloads:
Reverse dependencies:
Linking:
Please use the canonical form
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