Package: covTestR
Type: Package
Title: Covariance Matrix Tests
Version: 0.1.4
Authors@R: c(person("Ben", "Barnard", email = "ben_barnard@outlook.com", role = c("aut", "cre")),
  person("Dean", "Young", email = "dean_young@baylor.edu", role = c("aut")))
Maintainer: Ben Barnard <ben_barnard@outlook.com>
Description: 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.
License: GPL-2
LazyData: TRUE
RoxygenNote: 6.1.0
URL: https://covtestr.bearstatistics.com
BugReports: https://github.com/BenBarnard/covTestR/issues
Depends: R (>= 3.3)
Imports: rlang, purrr, Rcpp
LinkingTo: Rcpp, RcppArmadillo
SystemRequirements: C++11
NeedsCompilation: yes
Packaged: 2018-08-17 19:57:27 UTC; ben_b
Author: Ben Barnard [aut, cre],
  Dean Young [aut]
Repository: CRAN
Date/Publication: 2018-08-17 21:10:03 UTC
Built: R 4.1.0; x86_64-w64-mingw32; 2020-08-03 06:31:53 UTC; windows
Archs: i386, x64
