rootWishart: Distribution of Largest Root for Single and Double Wishart Settings

Functions for hypothesis testing in single and double Wishart settings, based on Roy's largest root. This test statistic is especially useful in multivariate analysis. The computations are based on results by Chiani (2014) <DOI:10.1016/j.jmva.2014.04.002> and Chiani (2016) <DOI:10.1016/j.jmva.2015.10.007>. They use the fact that the CDF is related to the Pfaffian of a matrix that can be computed in a finite number of iterations. This package takes advantage of the Boost and Eigen C++ libraries to perform multi-precision linear algebra.

AuthorMaxime Turgeon [aut, cre]
Date of publication2016-07-13 16:17:16
MaintainerMaxime Turgeon <maxime.turgeon@mail.mcgill.ca>
LicenseGPL (>= 2)
Version0.3.0
http://github.com/turgeonmaxime/rootWishart

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Files in this package

rootWishart
rootWishart/src
rootWishart/src/Makevars
rootWishart/src/singleWishart.cpp
rootWishart/src/Makevars.win
rootWishart/src/doubleWishart.cpp
rootWishart/src/RcppExports.cpp
rootWishart/NAMESPACE
rootWishart/NEWS.md
rootWishart/R
rootWishart/R/utility.R rootWishart/R/functions.R rootWishart/R/RcppExports.R rootWishart/R/zzz.R
rootWishart/README.md
rootWishart/MD5
rootWishart/DESCRIPTION
rootWishart/man
rootWishart/man/largestRoot.Rd

Questions? Problems? Suggestions? or email at ian@mutexlabs.com.

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