group-wine/sommelieR: Fitting Linear, Multinomial, and Partial Proportional Odds Models to Predict Wine Quality

The package fits a proportional odds model and linear model using two wine quality datasets. Wine quality is the response variable and several chemical components of wine are used to predict this outcome. Our proportional odds model and linear model are compared with several machine learning tools to assess prediction accuracy.

Getting started

Package details

AuthorSeoyoon Cho, Paloma Hauser, Taylor Lagler, Mike Nodzenski, Bryce Rowland
MaintainerSeoyoon Cho<[email protected]>, Mike Nodzenski<[email protected]>, Bryce Rowland<[email protected]>
LicenseGPL-2
Version0.0.2
Package repositoryView on GitHub
Installation Install the latest version of this package by entering the following in R:
install.packages("remotes")
remotes::install_github("group-wine/sommelieR")
group-wine/sommelieR documentation built on May 21, 2019, 1:43 p.m.