ortest

• Overview
• Features
• Installation
• Get started
• Citation
• Contributing

Overview

The R package ortest provides an odds ratio based conditional independence test for mixed data types, using nonparametric methods for nuisance estimation, including random forests, XGboost, and SuperLearner

Features

The main purpose of ortest is to test conditional independence test for mixed data types including numeric, binary and multi-level factor, and to implemented in pc algorithm.

Installation

You can install the development version from GitHub with:

## Install < remotes > package (if not already installed) ----
if (!requireNamespace("remotes", quietly = TRUE)) {
  install.packages("remotes")
}

## Install < ortest > from GitHub ----
remotes::install_github("chaoqiw0324/ortest")

Then you can attach the package ortest:

library("ortest")

Get started

For an overview of the main features of ortest, please read the Using the Ortest package vignette.

Citation

Please cite ortest as:

Wu Chaoqi (2024) ortest: An R package to ortest. R package version 0.0.0.9000. https://github.com/chaoqiw0324/ortest/

Contributing

All types of contributions are encouraged and valued. For more information, check out our Contributor Guidelines.

Please note that the ortest project is released with a Contributor Code of Conduct. By contributing to this project, you agree to abide by its terms.