iheatmapr: Interactive, Complex Heatmaps

Make complex, interactive heatmaps. 'iheatmapr' includes a modular system for iteratively building up complex heatmaps, as well as the iheatmap() function for making relatively standard heatmaps.

Version: 0.5.0
Depends: R (≥ 3.5.0)
Imports: methods, utils, magrittr, stats, ggdendro, fastcluster, RColorBrewer, htmlwidgets, jsonlite, scales, knitr, tools
Suggests: htmltools, datasets, shiny, testthat, rmarkdown, reshape2, roxygen2, covr, webshot
Published: 2020-07-07
Author: Alicia Schep ORCID iD [aut, cre], Sarah Kummerfeld ORCID iD [aut], Genentech [cph], Andee Kaplan [rev] (Reviewer for rOpensci review process https://github.com/ropensci/onboarding/issues/107), Carl Ganz [rev] (Reviewer for rOpensci review process https://github.com/ropensci/onboarding/issues/107), Alex Johnson [ctb] (plotly.js library), Étienne Tétreault-Pinard [ctb] (plotly.js library), Mikola Lysenko [ctb] (plotly.js library), Ricky Reusser [ctb] (plotly.js library), Robert Monfera [ctb] (plotly.js library), Nicolas Riesco [ctb] (plotly.js library), Miklós Tusz [ctb] (plotly.js library), Chelsea Douglas [ctb] (plotly.js library), Ben Postlethwaite [ctb] (plotly.js library), Chris Parmer [ctb] (plotly.js library), Alex Vados [ctb] (plotly.js library), Plotly [cph] (plotly.js library), Frederick Boehm [ctb] (colorbars & main_heatmap)
Maintainer: Alicia Schep <aschep at gmail.com>
BugReports: https://github.com/ropensci/iheatmapr/issues
License: MIT + file LICENSE
URL: https://docs.ropensci.org/iheatmapr (website) https://github.com/ropensci/iheatmapr
NeedsCompilation: no
Citation: iheatmapr citation info
Materials: NEWS
CRAN checks: iheatmapr results


Reference manual: iheatmapr.pdf
Vignettes: Minimal iheatmpar vignette
Package source: iheatmapr_0.5.0.tar.gz
Windows binaries: r-devel: iheatmapr_0.5.0.zip, r-release: iheatmapr_0.5.0.zip, r-oldrel: iheatmapr_0.5.0.zip
macOS binaries: r-release: iheatmapr_0.5.0.tgz, r-oldrel: iheatmapr_0.5.0.tgz
Old sources: iheatmapr archive

Reverse dependencies:

Reverse suggests: lipidr


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