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evaluomeR

Evaluation of Bioinformatics Metrics

Bioconductor version: 3.23 · Package version: 1.28.0

Other Bioconductor versions

devel is the development version; release is the current stable one.

3.24 (devel), 3.23 (release)

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.

DOI: 10.18129/B9.bioc.evaluomeR

Installation

if (!require("BiocManager", quietly = TRUE))
    install.packages("BiocManager")

BiocManager::install("evaluomeR")

Details

MaintainerJosé Antonio Bernabé-Díaz <joseantonio.bernabe1@um.es>
AuthorJosé Antonio Bernabé-Díaz [aut, cre], Manuel Franco [aut], Juana-María Vivo [aut], Manuel Quesada-Martínez [aut], Astrid Duque-Ramos [aut], Jesualdo Tomás Fernández-Breis [aut]
LicenseGPL-3
URLhttps://github.com/neobernad/evaluomeR
Bug Reportshttps://github.com/neobernad/evaluomeR/issues
Source branchRELEASE_3_23
Build report Bioconductor build system, r-universe
biocViewsClassification, Clustering, FeatureExtraction, Software
Package Short Url https://bioconductor.org/packages/evaluomeR/

Citation

From within R, enter citation("evaluomeR"):

José Antonio Bernabé-Díaz, Manuel Franco, Juana-María Vivo, Manuel Quesada-Martínez, Astrid Duque-Ramos, Jesualdo Tomás Fernández-Breis. evaluomeR: Evaluation of Bioinformatics Metrics. doi:10.18129/B9.bioc.evaluomeR, R package version 1.28.0, https://bioconductor.org/packages/evaluomeR.

Generated from the package metadata; it may differ from the package's own citation.

Documentation

Download

Follow the installation instructions to use this package in your R session.

Source packageevaluomeR_1.28.0.tar.gz
Windows binary (x86_64)evaluomeR_1.28.0.zip
macOS binary (arm64)evaluomeR_1.28.0.tgz
macOS binary (x86_64)evaluomeR_1.28.0.tgz
Dependencies

Depends: R (>= 3.6), SummarizedExperiment, MultiAssayExperiment, cluster (>= 2.0.9), fpc (>= 2.2-3), randomForest (>= 4.6.14), flexmix (>= 2.3.15), RSKC (>= 2.4.2), sparcl (>= 1.0.4)

Imports: corrplot (>= 0.84), grDevices, graphics, reshape2, ggplot2, ggdendro, plotrix, stats, matrixStats, Rdpack, MASS, class, prabclus, mclust, kableExtra, dplyr, dendextend (>= 1.16.0)

Suggests: BiocStyle, knitr, rmarkdown, magrittr