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.


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install.packages("corrgrapher")

1.0.4 by Pawel Morgen, a month ago


https://modeloriented.github.io/corrgrapher/, https://github.com/ModelOriented/corrgrapher


Report a bug at https://github.com/ModelOriented/corrgrapher/issues


Browse source code at https://github.com/cran/corrgrapher


Authors: Pawel Morgen [aut, cre] , Przemyslaw Biecek [aut]


Documentation:   PDF Manual  


GPL (>= 2) license


Imports visNetwork, ingredients, htmltools, ggplot2, knitr

Suggests rmarkdown, testthat, DALEX, gbm, ranger, spelling, covr


See at CRAN