corrgrapher: Explore Correlations Between Variables in a Machine Learning Model

When exploring data or models we often examine variables one by one. This analysis is incomplete if the relationship between these variables is not taken into account. The 'corrgrapher' package facilitates simultaneous exploration of the Partial Dependence Profiles and the correlation between variables in the model. The package 'corrgrapher' is a part of the 'DrWhy.AI' universe.

Version: 1.0.4
Depends: R (≥ 3.5.0)
Imports: visNetwork, ingredients, htmltools, ggplot2, knitr
Suggests: rmarkdown, testthat, DALEX, gbm, ranger, spelling, covr
Published: 2020-10-13
Author: Pawel Morgen [aut, cre], Przemyslaw Biecek [aut]
Maintainer: Pawel Morgen <seriousmorgen at protonmail.com>
BugReports: https://github.com/ModelOriented/corrgrapher/issues
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
URL: https://modeloriented.github.io/corrgrapher/, https://github.com/ModelOriented/corrgrapher
NeedsCompilation: no
Language: en-US
Materials: README NEWS
CRAN checks: corrgrapher results

Downloads:

Reference manual: corrgrapher.pdf
Package source: corrgrapher_1.0.4.tar.gz
Windows binaries: r-devel: corrgrapher_1.0.4.zip, r-release: corrgrapher_1.0.4.zip, r-oldrel: corrgrapher_1.0.4.zip
macOS binaries: r-release: corrgrapher_1.0.4.tgz, r-oldrel: corrgrapher_1.0.4.tgz
Old sources: corrgrapher archive

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