Implementation of wavelet-based multivariate spectral density estimation and clustering methods in the Riemannian manifold of Hermitian and positive-definite matrices.
| Version: | 1.0.0 |
| Depends: | R (≥ 3.3.1) |
| Imports: | astsa, Rcpp |
| LinkingTo: | Rcpp, RcppArmadillo (≥ 0.7.500.0.0) |
| Suggests: | knitr, rmarkdown, testthat |
| Published: | 2017-01-16 |
| Author: | Joris Chau [aut, cre] |
| Maintainer: | Joris Chau <j.chau at uclouvain.be> |
| License: | GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
| URL: | https://github.com/JorisChau/pdSpecEst |
| NeedsCompilation: | yes |
| SystemRequirements: | GNU make, C++11 |
| Materials: | README NEWS |
| CRAN checks: | pdSpecEst results |
| Reference manual: | pdSpecEst.pdf |
| Vignettes: |
"The 'pdSpecEst' package" |
| Package source: | pdSpecEst_1.0.0.tar.gz |
| Windows binaries: | r-devel: pdSpecEst_1.0.0.zip, r-release: pdSpecEst_1.0.0.zip, r-oldrel: not available |
| OS X Mavericks binaries: | r-release: pdSpecEst_1.0.0.tgz, r-oldrel: not available |
Please use the canonical form https://CRAN.R-project.org/package=pdSpecEst to link to this page.