An implementation of data analysis tools for samples of symmetric or Hermitian positive definite matrices, such as collections of covariance matrices or spectral density matrices. The tools in this package can be used to perform: (i) intrinsic wavelet transforms for curves (1D) or surfaces (2D) of Hermitian positive definite matrices with applications to dimension reduction, denoising and clustering in the space of Hermitian positive definite matrices; and (ii) exploratory data analysis and inference for samples of positive definite matrices by means of intrinsic data depth functions and rank-based hypothesis tests in the space of Hermitian positive definite matrices.
Version: 1.2.4 Depends: R (≥ 3.4.0) Imports: multitaper, Rcpp, ddalpha, Rdpack LinkingTo: Rcpp, RcppArmadillo (≥ 0.7.500.0.0) Suggests: knitr, rmarkdown, testthat, grid, ggplot2, reshape2, viridis, ggthemes Published: 2020-01-08 DOI: 10.32614/CRAN.package.pdSpecEst Author: Joris Chau [aut, cre] Maintainer: Joris Chau <joris.chau at openanalytics.eu> License: GPL-2 URL: https://github.com/JorisChau/pdSpecEst NeedsCompilation: yes SystemRequirements: GNU make, C++11 Materials: README NEWS CRAN checks: pdSpecEst results Documentation: Downloads: Linking:Please use the canonical form https://CRAN.R-project.org/package=pdSpecEst to link to this page.
RetroSearch is an open source project built by @garambo | Open a GitHub Issue
Search and Browse the WWW like it's 1997 | Search results from DuckDuckGo
HTML:
3.2
| Encoding:
UTF-8
| Version:
0.7.4