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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 |
DOI: | 10.32614/CRAN.package.covTestR |
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 |
Reference manual: | covTestR.pdf |
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, r-oldrel (x86_64): covTestR_0.1.4.tgz |
Old sources: | covTestR archive |
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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.