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 https://CRAN.R-project.org/package=NPflow to link to this page.
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