covTestR: Covariance Matrix Tests

Testing functions for Covariance Matrices. These tests include high-dimension homogeneity of covariance matrix testing described by Schott (2007) <doi:10.1016/j.csda.2007.03.004> and high-dimensional one-sample tests of covariance matrix structure described by Fisher, et al. (2010) <doi:10.1016/j.jmva.2010.07.004>. Covariance matrix tests use C++ to speed performance and allow larger data sets.

Version: 0.1.4
Depends: R (≥ 3.3)
Imports: rlang, purrr, Rcpp
LinkingTo: Rcpp, RcppArmadillo
Published: 2018-08-17
Author: Ben Barnard [aut, cre], Dean Young [aut]
Maintainer: Ben Barnard <ben_barnard at outlook.com>
BugReports: https://github.com/BenBarnard/covTestR/issues
License: GPL-2
URL: https://covtestr.bearstatistics.com
NeedsCompilation: yes
SystemRequirements: C++11
CRAN checks: covTestR results

Documentation:

Reference manual: covTestR.pdf

Downloads:

Package source: covTestR_0.1.4.tar.gz
Windows binaries: r-devel: covTestR_0.1.4.zip, r-release: covTestR_0.1.4.zip, r-oldrel: covTestR_0.1.4.zip
macOS binaries: r-release (arm64): covTestR_0.1.4.tgz, r-oldrel (arm64): covTestR_0.1.4.tgz, r-release (x86_64): covTestR_0.1.4.tgz
Old sources: covTestR archive

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