Package: vimixr 0.1.2

Annesh Pal

vimixr: Collapsed Variational Inference for Dirichlet Process (DP) Mixture Model

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.

Authors:Annesh Pal [aut, cre], Boris Hejblum [aut]

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manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
vimixr/json (API)

# Install 'vimixr' in R:

install.packages('vimixr', repos = c('https://annesh07.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/annesh07/vimixr/issues

Pkgdown/docs site:https://annesh07.github.io

Uses libs:

c++– GNU Standard C++ Library v3

On CRAN:

cpp

4.78 score 4 scripts 469 downloads 18 exports 27 dependencies

Last updated from:12262d76ac. Checks:13 OK. Indexed: yes.

Target	Result	Time
linux-devel-arm64	OK	185
linux-devel-x86_64	OK	188
source / vignettes	OK	260
linux-release-arm64	OK	177
linux-release-x86_64	OK	192
macos-release-arm64	OK	211
macos-release-x86_64	OK	391
macos-oldrel-arm64	OK	175
macos-oldrel-x86_64	OK	408
windows-devel	OK	179
windows-release	OK	180
windows-oldrel	OK	168
wasm-release	OK	174

Exports:cum_clustprop cum_clustprop_var cvi_npmm CVI_update_function eBa0 elbo_fixed_diagonal ELBO_function generate_log_prob log_sum_exp lower_tri_stats mat_mult mat_mult_t params_check quadratic_form_diag run_single sparse_cov_op sweep_3D t_mat_mult

Dependencies:cli cpp11 farver ggplot2 glue gtable irlba isoband labeling lattice lifecycle Matrix patchwork R6 RColorBrewer Rcpp RcppArmadillo RcppEigen RcppParallel Rfast rlang S7 scales vctrs viridisLite withr zigg

Userguide for the vimixr package

Rendered fromvimixr_userguide.Rmdusingknitr::rmarkdown

Last update: 2026-05-25
Started: 2025-04-01

Citation

Development and contributors

Readme and manuals

Help Manual

Help page	Topics
cum_clustprop	cum_clustprop
cum_clustprop_var	cum_clustprop_var
Collapsed variational inference for non-parametric Bayesian mixture models	cvi_npmm
Update of the variational parameters	CVI_update_function
Root for a0 hyper-parameter for Sparse DPMM	eBa0
ELBO calculating functions depending on type of model for covariance matrix	elbo_fixed_diagonal
General ELBO function	ELBO_function
Generate random log Probability matrix if not provided	generate_log_prob
Log-sum-exponential computation on the log probability allocation matrix	log_sum_exp
lower_tri_stats	lower_tri_stats
mat_mult	mat_mult
mat_mult_t	mat_mult_t
Function to check the list of type-specific arguments	params_check
S3 plotting function for 'CVIoutput'objects'	plot.CVIoutput
quadratic_form_diag	quadratic_form_diag
CVI implementation for one set of initial parameters	run_single
sparse_cov_op	sparse_cov_op
sweep_3D	sweep_3D
t_mat_mult	t_mat_mult