Package: mmb
Type: Package
Title: Arbitrary Dependency Mixed Multivariate Bayesian Models
Version: 0.13.3
Author: Sebastian Hönel
Maintainer: Sebastian Hönel <sebastian.honel@lnu.se>
Description: Supports Bayesian models with full and partial (hence
        arbitrary) dependencies between random variables. Discrete and
        continuous variables are supported, and conditional joint
        probabilities and probability densities are estimated using
        Kernel Density Estimation (KDE). The full general form, which
        implements an extension to Bayes' theorem, as well as the
        simple form, which is just a Bayesian network, both support
        regression through segmentation and KDE and estimation of
        probability or relative likelihood of discrete or continuous
        target random variables. This package also provides true
        statistical distance measures based on Bayesian models.
        Furthermore, these measures can be facilitated on neighborhood
        searches, and to estimate the similarity and distance between
        data points. Related work is by Bayes (1763)
        <doi:10.1098/rstl.1763.0053> and by Scutari (2010)
        <doi:10.18637/jss.v035.i03>.
License: GPL-3
Encoding: UTF-8
URL: https://github.com/MrShoenel/R-mmb
BugReports: https://github.com/MrShoenel/R-mmb/issues
VignetteBuilder: knitr
Suggests: devtools, testthat, covr, e1071, caret, knitr, rmarkdown,
        ggplot2, ggpubr, cowplot, philentropy, Rtsne
Roxygen: list(markdown = TRUE)
RoxygenNote: 7.1.1
Imports: Rdpack, datasets, stats, foreach, parallel, doParallel
RdMacros: Rdpack
Repository: https://mrshoenel.r-universe.dev
Date/Publication: 2020-11-13 10:16:35 UTC
RemoteUrl: https://github.com/mrshoenel/r-mmb
RemoteRef: HEAD
RemoteSha: b4803f6e22895669abaf42a4a4ae78d39933ee82
RemoteSubdir: pkg/mmb
NeedsCompilation: no
Packaged: 2026-10-03 07:24:49 UTC; root