bettr
This is the released version of bettr; for the devel version, see bettr.
A Better Way To Explore What Is Best
Bioconductor version: Release (3.22)
bettr provides a set of interactive visualization methods to explore the results of a benchmarking study, where typically more than a single performance measures are computed. The user can weight the performance measures according to their preferences. Performance measures can also be grouped and aggregated according to additional annotations.
Author: Federico Marini [aut]
ORCID: 0000-0003-3252-7758
, Charlotte Soneson [aut, cre]
ORCID: 0000-0003-3833-2169
Maintainer: Charlotte Soneson <charlottesoneson at gmail.com>
citation("bettr")):
Installation
To install this package, start R (version "4.5") and enter:
if (!require("BiocManager", quietly = TRUE))
install.packages("BiocManager")
BiocManager::install("bettr")
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("bettr")
Details
| biocViews | GUI, ShinyApps, Software, Visualization |
| Version | 1.6.0 |
| In Bioconductor since | BioC 3.19 (R-4.4) (2 years) |
| License | MIT + file LICENSE |
| Depends | R (>= 4.4.0) |
| Imports | dplyr (>= 1.0), tidyr, ggplot2 (>= 3.4.1), shiny (>= 1.6), tibble, ComplexHeatmap, bslib, rlang, circlize, stats, grid, methods, cowplot, Hmisc, sortable, shinyjqui, grDevices, scales, DT, SummarizedExperiment, S4Vectors |
| System Requirements | |
| URL | https://github.com/federicomarini/bettr |
| Bug Reports | https://github.com/federicomarini/bettr/issues |
See More
Package Archives
Follow Installation instructions to use this package in your R session.