ericdunipace/SLIMpaper: Interpretable Model Summaries Using the Wasserstein Distance
This R package reproduces the code found in the paper "Interpretable Model Summaries Using the Wasserstein Distance". The methodology is used to make interpretable linear models that approximtae arbitrarily complex statistical models.
Getting started
Browse package contents
Package details |
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| Author | Eric Dunipace |
| Maintainer | Eric Dunipace <eduniapce@g.harvard.edu> |
| License | GPL v3.0 |
| Version | 0.1 |
| Package repository | View on GitHub |
| Installation |
Install the latest version of this package by entering the following in R:
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