evaluomeR
Evaluation of Bioinformatics Metrics
Bioconductor version: 3.24 · Package version: 1.29.0
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.
Installation
if (!require("BiocManager", quietly = TRUE))
install.packages("BiocManager")
BiocManager::install("evaluomeR")Details
| Maintainer | José Antonio Bernabé-Díaz <joseantonio.bernabe1@um.es> |
| 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] |
| License | GPL-3 |
| URL | https://github.com/neobernad/evaluomeR |
| Bug Reports | https://github.com/neobernad/evaluomeR/issues |
| Downloads rank | 441 |
| Source branch | devel |
| biocViews | Classification, Clustering, FeatureExtraction, Software |
Documentation
Download
Follow the installation instructions to use this package in your R session.
| Source package | evaluomeR_1.29.0.tar.gz |
| Windows binary (x86_64) | evaluomeR_1.29.0.zip |
| macOS binary (arm64) | evaluomeR_1.29.0.tgz |
| macOS binary (x86_64) | evaluomeR_1.29.0.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)