| Summary: | 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)
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