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CovTools: Statistical Tools for Covariance Analysis
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 |
| 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.
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.
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