Package: evaluomeR
Type: Package
Title: Evaluation of Bioinformatics Metrics
URL: https://github.com/neobernad/evaluomeR
Version: 1.15.0
Authors@R: c(
    person("José Antonio", "Bernabé-Díaz", email = "joseantonio.bernabe1@um.es", role = c("aut", "cre")),
    person("Manuel", "Franco", email = "mfranco@um.es", role = "aut"),
    person("Juana-María", "Vivo", email = "jmvivomo@um.es", role = "aut"),
    person("Manuel", "Quesada-Martínez", email = "mquesada@umh.es", role = "aut"),
    person("Astrid", "Duque-Ramos", email = "asdur02@gmail.com", role = "aut"),
    person("Jesualdo Tomás", "Fernández-Breis", email = "jfernand@um.es", role = "aut")
    )
BugReports: https://github.com/neobernad/evaluomeR/issues
Description: Evaluating the reliability of your own metrics 
    and the measurements done on your own datasets by 
    analysing the stability and goodness of the classifications 
    of such metrics.
License: GPL-3
Encoding: UTF-8
LazyData: true
Depends: R (>= 3.6), SummarizedExperiment, MultiAssayExperiment, 
            cluster (>= 2.0.9), fpc (>= 2.2-3), randomForest (>= 4.6.14), flexmix (>= 2.3.15)
Imports:
    corrplot (>= 0.84),
    grDevices,
    graphics,
    reshape2,
    ggplot2,
    ggdendro,
    plotrix,
    stats,
    matrixStats,
    Rdpack,
    MASS,
    class,
    prabclus,
    mclust,
    kableExtra
Suggests: BiocStyle, knitr, rmarkdown, magrittr
VignetteBuilder: knitr
RdMacros: Rdpack
RoxygenNote: 7.0.2
biocViews: Clustering, Classification, FeatureExtraction
Collate:
    'data.R'
    'helpers.R'
    'internalClusterboot.R'
    'internalFunctions.R'
    'stabilityIndex.R'
    'qualityIndices.R'
    'correlation.R'
    'metricsAnalysis.R'
    'predictions.R'