Package: metabolyseR Title: Methods for Pre-Treatment, Data Mining and Correlation Analyses of Metabolomics Data Version: 0.15.4 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: 7.2.3 Suggests: knitr, rmarkdown, readr, testthat, metaboData, prettydoc, covr, kableExtra Collate: all-classes.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 modelling-plots.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-permute.R randomForest-classification.R randomForest-regression.R randomForest-internals.R randomForest-unsupervised.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 Config/pak/sysreqs: cmake make libicu-dev libuv1-dev Repository: https://aberhrml.r-universe.dev Date/Publication: 2023-09-12 15:01:48 UTC RemoteUrl: https://github.com/aberHRML/metabolyseR RemoteRef: HEAD RemoteSha: 08bb28b7d2bb733e675a0a9fd88509b4b8241398 NeedsCompilation: no Packaged: 2026-06-16 09:35:52 UTC; root Author: Jasen Finch [aut, cre] Maintainer: Jasen Finch