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back | new search | print Hothorn, Torsten; Hornik, Kurt; van de Wiel, Mark A. ; Zeileis, Achim: Implementing a Class of Permutation Tests: The coin Package Research Report Series / Department of Statistics and Mathematics, Nr. 55, July 2007 Department of Statistics and Mathematics , Wirtschaftsuniversität Wien, Augasse 2-6, A-1090 Wien, Austria, 2007 Holdings from the WU library catalog | document ID: oai:epub.wu-wien.ac.at:epub-wu-01_c07 Download document 14 pages/328 kB © Copyright notice  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's abstract)  Keywords: conditional inference / exact distribution / conditional Monte Carlo / categorical data analysis / R © 2009 University Library and Institute for Information Business, Vienna University of Economics and Business | Thu Sep 2 19:28:43 2010