Package: MetaboDynamics
Title: Bayesian analysis of longitudinal metabolomics data
Version: 2.2.0
Authors@R: 
  c(person(given="Katja",family= "Danielzik", email="katja.danielzik@uni-due.de", 
           role = c("aut", "cre"),
           comment=c(ORCID="0009-0007-5021-6212")),
    person(given="Simo",family="Kitanovski",role="ctb",
           comment=c(ORCID="0000-0003-2909-5376")),
    person(given="Johann",family="Matschke",role="ctb",
           comment=c(ORCID="0000-0003-4878-8741")),
    person(given="Daniel",family="Hoffmann",role="ctb",
           comment=c(ORCID="0000-0003-2973-7869")))
URL: https://github.com/KatjaDanielzik/MetaboDynamics
BugReports: https://github.com/KatjaDanielzik/MetaboDynamics/issues
Description: MetaboDynamics is an R-package that provides a framework
        of probabilistic models to analyze longitudinal metabolomics
        data. It enables robust estimation of mean concentrations
        despite varying spread between timepoints and reports
        differences between timepoints as well as metabolite specific
        dynamics profiles that can be used for identifying "dynamics
        clusters" of metabolites of similar dynamics. Provides
        probabilistic over-representation analysis of KEGG functional
        modules and pathways as well as comparison between clusters of
        different experimental conditions.
License: GPL (>= 3)
Encoding: UTF-8
Roxygen: list(markdown = TRUE)
RoxygenNote: 7.3.3
Suggests: knitr, rmarkdown, BiocStyle, testthat (>= 3.0.0)
Config/testthat/edition: 3
Imports: dplyr, ggplot2, KEGGREST, methods, Rcpp (>= 0.12.0),
        RcppParallel (>= 5.0.1), rstan (>= 2.18.1), rstantools (>=
        2.4.0), S4Vectors, stringr, SummarizedExperiment, tidyr,
        dynamicTreeCut, rlang, ape, ggtree, patchwork
VignetteBuilder: knitr
Depends: R (>= 4.4.0)
LazyData: false
LinkingTo: BH (>= 1.66.0), Rcpp (>= 0.12.0), RcppEigen (>= 0.3.3.3.0),
        RcppParallel (>= 5.0.1), rstan (>= 2.18.1), StanHeaders (>=
        2.18.0)
SystemRequirements: GNU make
biocViews:
        Software,Metabolomics,Bayesian,FunctionalPrediction,MultipleComparison,KEGG,Pathways,TimeCourse,
        Clustering
Biarch: true
Config/pak/sysreqs: libcairo2-dev cmake libfontconfig1-dev
        libfreetype6-dev make libicu-dev libpng-dev libuv1-dev
        libssl-dev zlib1g-dev
Repository: https://bioc-release.r-universe.dev
Date/Publication: 2026-04-29 19:27:59 UTC
RemoteUrl: https://github.com/bioc/MetaboDynamics
RemoteRef: RELEASE_3_23
RemoteSha: fb02394b8e90937340d80cc3e3ca19add5ec5457
NeedsCompilation: yes
Packaged: 2026-04-29 23:20:38 UTC; root
Author: Katja Danielzik [aut, cre] (ORCID:
    <https://orcid.org/0009-0007-5021-6212>),
  Simo Kitanovski [ctb] (ORCID: <https://orcid.org/0000-0003-2909-5376>),
  Johann Matschke [ctb] (ORCID: <https://orcid.org/0000-0003-4878-8741>),
  Daniel Hoffmann [ctb] (ORCID: <https://orcid.org/0000-0003-2973-7869>)
Maintainer: Katja Danielzik <katja.danielzik@uni-due.de>
Built: R 4.6.0; x86_64-apple-darwin20; 2026-04-29 23:30:23 UTC; unix
