This is an R implementation of the method proposed in "Scalable and Efficient Hypothesis Tests for Random Forests". Intended to function like an F-test for ensemble learners, that is both computationally efficient and provably valid in the sense of Type I error control. See also \url{http://arxiv.org/abs/1904.07830}.
Package details |
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Author | Tim Coleman |
Maintainer | Tim Coleman <tsc35@pitt.edu> |
License | GPL-2 |
Version | 0.1.0 |
Package repository | View on GitHub |
Installation |
Install the latest version of this package by entering the following in R:
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