This is the released version of evaluomeR; for the devel version, see evaluomeR.
Evaluation of Bioinformatics MetricsBioconductor version: Release (3.21)
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.
Author: José Antonio Bernabé-DÃaz [aut, cre], Manuel Franco [aut], Juana-MarÃa Vivo [aut], Manuel Quesada-MartÃnez [aut], Astrid Duque-Ramos [aut], Jesualdo Tomás Fernández-Breis [aut]
Maintainer: José Antonio Bernabé-DÃaz <joseantonio.bernabe1 at um.es>
Citation (from within R, entercitation("evaluomeR")
): Installation
To install this package, start R (version "4.5") and enter:
if (!require("BiocManager", quietly = TRUE))
install.packages("BiocManager")
BiocManager::install("evaluomeR")
For older versions of R, please refer to the appropriate Bioconductor release.
DocumentationTo view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("evaluomeR")
Details biocViews Classification, Clustering, FeatureExtraction, Software Version 1.24.0 In Bioconductor since BioC 3.9 (R-3.6) (6 years) License GPL-3 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) System Requirements URL https://github.com/neobernad/evaluomeR Bug Reports https://github.com/neobernad/evaluomeR/issues See More Package Archives
Follow Installation instructions to use this package in your R session.
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