Implementing a Class of Permutation Tests: The coin Package

Torsten Hothorn, Kurt Hornik, Mark A. van de Wiel and Achim Zeileis ()

Journal of Statistical Software, 2008, vol. 028, issue i08

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 flexible 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 flexibility 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.

Date: 2008-11-13
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Persistent link: https://EconPapers.repec.org/RePEc:jss:jstsof:v:028:i08

DOI: 10.18637/jss.v028.i08

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