Quotation Hothorn, Torsten, Hornik, Kurt, van de Wiel, Mark A., Zeileis, Achim. 2008. Implementing a Class of Permutation Tests: The coin Package. Journal of Statistical Software 28 (8): 1-23.


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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 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.

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Publication's profile

Status of publication Published
Affiliation WU
Type of publication Journal article
Journal Journal of Statistical Software
Citation Index SCI
WU-Journal-Rating new FIN-A
Language English
Title Implementing a Class of Permutation Tests: The coin Package
Volume 28
Number 8
Year 2008
Page from 1
Page to 23
Reviewed? Y
URL http://www.jstatsoft.org/v28/i08/

Associations

People
Hornik, Kurt (Details)
Zeileis, Achim (Former researcher)
External
Hothorn, Torsten
van de Wiel, Mark A.
Organization
Institute for Statistics and Mathematics IN (Details)
Research Institute for Computational Methods FI (Details)
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