DESCRIPTION

Package: metabolyseR
Title: Methods for Pre-Treatment, Data Mining and Correlation Analyses of Metabolomics Data
Version: 0.14.10
Authors@R: person("Jasen", "Finch", email = "jsf9@aber.ac.uk", role = c("aut", "cre"))
Description: A tool kit for pre-treatment, modelling, feature selection and correlation analyses of metabolomics data.
URL: https://jasenfinch.github.io/metabolyseR
BugReports: https://github.com/jasenfinch/metabolyseR/issues
biocViews: Metabolomics
Depends: R (>= 3.4.0)
Imports: Hmisc,
         dplyr,
         missForest,
         randomForest,
         stringr,
         tibble,
         tidyr,
         methods,
         ggplot2,
         ggthemes,
         ggdendro,
         purrr,
         doFuture,
         e1071,
         forestControl,
         crayon,
         yaml,
         cli,
         lubridate,
         ggrepel,
         patchwork,
         yardstick,
         broom,
         rlang,
         tidyselect,
         magrittr,
         furrr,
         future
License: GPL (>= 3)
Encoding: UTF-8
Roxygen: list(markdown = TRUE)
RoxygenNote: 7.1.2
Suggests: knitr,
    rmarkdown,
    readr,
    testthat,
    metaboData,
    prettydoc,
    covr,
    kableExtra
Collate: allClasses.R
    analysis-accessors.R
    aggregate.R
    analysisData.R
    correction.R
    correlations.R
    impute.R
    info.R
    join.R
    keep.R
    mds.R
    metabolyse.R
    metabolyseR.R
    modelling.R
    modellingPlots.R
    nlda.R
    occupancy.R
    parameters.R
    plotExplanatoryHeatmap.R
    plotFeature.R
    plotLDA.R
    plotOccupancy.R
    plotPCA.R
    plotRSD.R
    plotSupervisedRF.R
    plotTIC.R
    plotting.R
    plotUnsupervisedRF.R
    pre-treatment.R
    predict.R
    QC.R
    reexports.R
    remove.R
    randomForest.R
    rsd.R
    roc.R
    show-method.R
    split.R
    transform.R
    tune.R
    univariate.R
    modelling-accessors.R
VignetteBuilder: knitr
Remotes: jasenfinch/missForest