samhaycock/sumcat: Categorical Summary

A package that is an ensemble for categorical analysis. That is there is one modeling function that takes in a formula, training data set, and a test data set. Which stores the four types of classification models: Logistic Regression, Random Forest, Support Vector Machines, and Linear Dependence Analysis, in a single object. We have overwritten three functions: summary, rank, and plot, which take in this object and return results for each.

Getting started

Package details

AuthorSam Haycock [aut, cre], Sydney Geisler [aut], Julia Keiter [aut]
MaintainerSam Haycock <sam.haycock@usu.edu>
LicenseGPL (>= 3)
Version0.1.0
Package repositoryView on GitHub
Installation Install the latest version of this package by entering the following in R:
install.packages("remotes")
remotes::install_github("samhaycock/sumcat")
samhaycock/sumcat documentation built on Dec. 22, 2021, 10:11 p.m.