evaluomeR
This is thereleased version of evaluomeR; for the devel version, seeevaluomeR.
Evaluation of Bioinformatics Metrics
Bioconductor version: Release (3.22)
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 "4.5") and enter:
if (!require("BiocManager", quietly = TRUE)) install.packages("BiocManager")BiocManager::install("evaluomeR")For older versions of R, please refer to the appropriateBioconductor 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 | 1.26.0 |
| In Bioconductor since | BioC 3.9 (R-3.6) (6.5 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
FollowInstallation instructions to use this package in your R session.
| Source Package | evaluomeR_1.26.0.tar.gz |
| Windows Binary (x86_64) | evaluomeR_1.26.0.zip (64-bit only) |
| macOS Binary (x86_64) | evaluomeR_1.26.0.tgz |
| macOS Binary (arm64) | evaluomeR_1.26.0.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 |