Implementing a Class of Permutation Tests: The coin Package

Zeileis, Achim and Wiel, Mark A. van de and Hornik, Kurt ORCID: https://orcid.org/0000-0003-4198-9911 and Hothorn, Torsten (2008) Implementing a Class of Permutation Tests: The coin Package. Journal of Statistical Software, 28 (8). pp. 1-23. ISSN 1548-7660

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Abstract

The R package coin implements a unified approach to permutation tests providing a huge class of independence tests for nominal, ordered, numeric, and censored data as well as multivariate data at mixed scales. Based on a rich and exible conceptual framework that embeds different permutation test procedures into a common theory, a computational framework is established in coin that likewise embeds the corresponding R functionality in a common S4 class structure with associated generic functions. As a consequence, the computational tools in coin inherit the exibility of the underlying theory and conditional inference functions for important special cases can be set up easily. Conditional versions of classical tests|such as tests for location and scale problems in two or more samples, independence in two- or three-way contingency tables, or association problems for censored, ordered categorical or multivariate data|can easily be implemented as special cases using this computational toolbox by choosing appropriate transformations of the observations. The paper gives a detailed exposition of both the internal structure of the package and the provided user interfaces along with examples on how to extend the implemented functionality. (authors' abstract)

Item Type: Article
Keywords: conditional inference / exact distribution / conditional Monte Carlo / categorical data analysis / R
Divisions: Departments > Finance, Accounting and Statistics > Statistics and Mathematics > Hornik
Version of the Document: Published
Depositing User: ePub Administrator
Date Deposited: 28 Oct 2013 17:10
Last Modified: 24 Oct 2019 13:41
FIDES Link: https://bach.wu.ac.at/d/research/results/44062/
URI: https://epub.wu.ac.at/id/eprint/4004

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