evaluomeR
This is the released version of evaluomeR; for the devel version, see evaluomeR.
Evaluation of Bioinformatics Metrics
Bioconductor version: Release (3.20)
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")
):
Installation
To install this package, start R (version "4.4") 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 | 1.22.0 |
In Bioconductor since | BioC 3.9 (R-3.6) (5.5 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 |
Package Archives
Follow Installation instructions to use this package in your R session.
Source Package | evaluomeR_1.22.0.tar.gz |
Windows Binary (x86_64) | evaluomeR_1.22.0.zip |
macOS Binary (x86_64) | evaluomeR_1.22.0.tgz |
macOS Binary (arm64) | evaluomeR_1.22.0.tgz |
Source Repository | git clone https://git.bioconductor.org/packages/evaluomeR |
Source Repository (Developer Access) | git clone git@git.bioconductor.org:packages/evaluomeR |
Bioc Package Browser | https://code.bioconductor.org/browse/evaluomeR/ |
Package Short Url | https://bioconductor.org/packages/evaluomeR/ |
Package Downloads Report | Download Stats |