Covariance is of universal prevalence across various disciplines within statistics. We provide a rich collection of geometric and inferential tools for convenient analysis of covariance structures, topics including distance measures, mean covariance estimator, covariance hypothesis test for one-sample and two-sample cases, and covariance estimation. For an introduction to covariance in multivariate statistical analysis, see Schervish (1987) <doi:10.1214/ss/1177013111>.
Version: 0.5.4 Depends: R (≥ 2.14.0) Imports: Rcpp, geigen, shapes, expm, mvtnorm, stats, Matrix, doParallel, foreach, parallel, pracma, Rdpack, utils, SHT LinkingTo: Rcpp, RcppArmadillo Published: 2021-08-13 DOI: 10.32614/CRAN.package.CovTools Author: Kyoungjae Lee [aut], Lizhen Lin [ctb], Kisung You [aut, cre] Maintainer: Kisung You <kisungyou at outlook.com> License: GPL (≥ 3) URL: https://github.com/kisungyou/CovTools NeedsCompilation: yes Materials: README NEWS CRAN checks: CovTools results Documentation: Downloads: Linking:Please use the canonical form https://CRAN.R-project.org/package=CovTools to link to this page.
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