@techreport{c0ee7f1927294685ae7c42e7462affc3,
title = "Implementing a class of permutation tests: The coin package",
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 be 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.",
author = "Torsten Hothorn and Kurt Hornik and {van de Wiel}, {Mark A.} and Achim Zeileis",
note = "Earlier version",
year = "2007",
month = jul,
language = "English",
series = "Research Report Series / Department of Statistics and Mathematics",
number = "55",
publisher = "Department of Statistics and Mathematics, WU Vienna University of Economics and Business",
type = "WorkingPaper",
institution = "Department of Statistics and Mathematics, WU Vienna University of Economics and Business",
}