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r-rootwishart

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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.

Installation

To install this package, run one of the following:

Conda
$conda install r_test::r-rootwishart

Usage Tracking

0.4.1
1 / 8 versions selected
Total downloads: 0

About

Summary

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.

Information Last Updated

Apr 22, 2025 at 15:32

License

GPL-2

Total Downloads

2

Platforms

Linux 64 Version: 0.4.1
Win 64 Version: 0.4.1
macOS 64 Version: 0.4.1