eifer4/CoarsePosteriorSummary: 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

Package details

AuthorEric Dunipace
MaintainerEric Dunipace <eduniapce@g.harvard.edu>
LicenseGPL v3.0
Version0.1
Package repositoryView on GitHub
Installation Install the latest version of this package by entering the following in R:
install.packages("remotes")
remotes::install_github("eifer4/CoarsePosteriorSummary")
eifer4/CoarsePosteriorSummary documentation built on April 10, 2021, 12:40 p.m.