DOI: 10.18129/B9.bioc.evaluomeR  

This package is for version 3.17 of Bioconductor; for the stable, up-to-date release version, see evaluomeR.

Evaluation of Bioinformatics Metrics

Bioconductor version: 3.17

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-Díaz [aut, cre], Manuel Franco [aut], Juana-María Vivo [aut], Manuel Quesada-Martínez [aut], Astrid Duque-Ramos [aut], Jesualdo Tomás Fernández-Breis [aut]

Maintainer: José Antonio Bernabé-Díaz <joseantonio.bernabe1 at um.es>

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biocViews Classification, Clustering, FeatureExtraction, Software
Version 1.16.0
In Bioconductor since BioC 3.9 (R-3.6) (4.5 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)
Imports corrplot (>= 0.84), grDevices, graphics, reshape2, ggplot2, ggdendro, plotrix, stats, matrixStats, Rdpack, MASS, class, prabclus, mclust, kableExtra
Suggests BiocStyle, knitr, rmarkdown, magrittr
URL https://github.com/neobernad/evaluomeR
BugReports https://github.com/neobernad/evaluomeR/issues
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Source Package evaluomeR_1.16.0.tar.gz
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Source Repository (Developer Access) git clone git@git.bioconductor.org:packages/evaluomeR
Bioc Package Browser https://code.bioconductor.org/browse/evaluomeR/
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