Package: MultiModalR
Title: Fast Bayesian Probability Estimation for Multimodal Categorical
        Data
Version: 1.0.0
Date: 2026-06-18
Authors@R: 
    person(given = "Gergo",
           family = "Dioszegi",
           role = c("aut", "cre"),
           email = "dijogergo@gmail.com")
Description: Fast Bayesian probability estimation for multimodal
        categorical data using speed-optimized MCMC implementation
        (Metropolis-Hastings-within-partial-Gibbs). The package
        provides efficient algorithms for detecting subpopulations,
        estimating mixture components, and assigning observations to
        subgroups with probability estimates.
License: MIT + file LICENSE
URL: https://github.com/DijoG/MultiModalR
BugReports: https://github.com/DijoG/MultiModalR/issues
Depends: R (>= 3.5.0)
Imports: Rcpp (>= 1.0.10), dplyr, purrr, readr, ggplot2, furrr, future,
        truncnorm, rlang
Suggests: testthat (>= 3.0.0), knitr, rmarkdown, multimode, tictoc,
        tidyr
LinkingTo: Rcpp, RcppArmadillo
SystemRequirements: C++17
Encoding: UTF-8
RoxygenNote: 7.3.2
NeedsCompilation: yes
LazyData: true
Config/pak/sysreqs: libx11-dev
Repository: https://dijog.r-universe.dev
Date/Publication: 2026-06-23 12:43:01 UTC
RemoteUrl: https://github.com/dijog/multimodalr
RemoteRef: HEAD
RemoteSha: d235608b9f70128dab5382cce870baa9b7892b09
Packaged: 2026-07-01 08:55:13 UTC; root
Author: Gergo Dioszegi [aut, cre]
Maintainer: Gergo Dioszegi <dijogergo@gmail.com>