evaluomeR
This is the released version of evaluomeR; for the devel version, see evaluomeR.
Evaluation of Bioinformatics Metrics
Bioconductor version: Release (3.23)
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>
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.
Installation
To install this package, start R (version "4.6") 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.
Documentation
To view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("evaluomeR")| Evaluation of Bioinformatics Metrics with evaluomeR | HTML | R Script |
| Reference Manual | ||
| NEWS | Text | |
| LICENSE | Text |
Details
| biocViews | Classification, Clustering, FeatureExtraction, Software |
| Version | 1.28.0 |
| In Bioconductor since | BioC 3.9 (R-3.6) (7.5 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), 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
| Suggests | BiocStyle, knitr, rmarkdown, magrittr |
| Linking To | |
| Enhances | |
| Depends On Me | |
| Imports Me | |
| Suggests Me | |
| Links To Me | |
| Build Report | Build Report, r-universe |
Package Archives
Follow Installation instructions to use this package in your R session.
| Source Package | evaluomeR_1.28.0.tar.gz |
| Windows Binary (x86_64) | evaluomeR_1.28.0.zip |
| macOS Binary (big-sur-x86_64) | evaluomeR_1.28.0.tgz |
| macOS Binary (sonoma-arm64) | evaluomeR_1.28.0.tgz |
| Source Repository | git clone https://git.bioconductor.org/packages/evaluomeR |
| Source Repository (Developer Access) | git clone git@git.bioconductor.org:packages/evaluomeR |
| Package Short Url | https://bioconductor.org/packages/evaluomeR/ |
| Package Downloads Report | Download Stats |