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 |