A general framework for constructing variable importance plots from
various types machine learning models in R. Aside from some standard model-
based variable importance measures, this package also provides a novel
approach based on partial dependence plots (PDPs) and individual conditional
expectation (ICE) curves as described in Greenwell et al. (2018)
|Author||Brandon Greenwell [aut, cre] (<https://orcid.org/0000-0002-8120-0084>), Brad Boehmke [aut]|
|Date of publication||2018-06-15 09:10:57 UTC|
|Maintainer||Brandon Greenwell <[email protected]>|
|License||GPL (>= 2)|
|Package repository||View on CRAN|
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