Package: vimixr
Title: Collapsed Variational Inference for Dirichlet Process (DP)
        Mixture Model
Version: 0.1.2
Authors@R: c( 
    person("Annesh", "Pal", , "sistm.soft.maintain@gmail.com", role = c("aut", "cre"),
           comment = c(ORCID = "0009-0003-2146-180X")),
    person("Boris", "Hejblum", , "boris.hejblum@u-bordeaux.fr", role = c("aut"),
           comment = c(ORCID = "0000-0003-0646-452X"))
           )
Description: Collapsed Variational Inference for a Dirichlet Process (DP) mixture model with unknown covariance matrix structure and DP concentration parameter. It enables efficient clustering of high-dimensional data with significantly improved computational speed than traditional MCMC methods. The package incorporates 8 parameterisations and corresponding prior choices for the unknown covariance matrix, from which the user can choose and apply accordingly.
Encoding: UTF-8
RoxygenNote: 7.3.3
License: MIT + file LICENSE
Imports: ggplot2, patchwork, Rcpp, Rfast, rlang, parallel, stats
Suggests: knitr, rmarkdown, pbapply, testthat (>= 3.0.0)
Config/testthat/edition: 3
URL: https://github.com/annesh07/vimixr
BugReports: https://github.com/annesh07/vimixr/issues
LinkingTo: Rcpp, RcppEigen
VignetteBuilder: knitr
NeedsCompilation: yes
Packaged: 2026-01-09 10:15:09 UTC; ap15
Author: Annesh Pal [aut, cre] (ORCID: <https://orcid.org/0009-0003-2146-180X>),
  Boris Hejblum [aut] (ORCID: <https://orcid.org/0000-0003-0646-452X>)
Maintainer: Annesh Pal <sistm.soft.maintain@gmail.com>
Repository: CRAN
Date/Publication: 2026-01-12 20:30:02 UTC
Built: R 4.4.3; x86_64-w64-mingw32; 2026-02-04 03:44:53 UTC; windows
Archs: x64
