https://github.com/tabe/rhosa
Higher-Order Spectral Analysis in R
https://github.com/tabe/rhosa
bicoherence bispectrum r
Last synced: 11 months ago
JSON representation
Higher-Order Spectral Analysis in R
- Host: GitHub
- URL: https://github.com/tabe/rhosa
- Owner: tabe
- License: gpl-3.0
- Created: 2019-10-12T19:09:19.000Z (over 6 years ago)
- Default Branch: main
- Last Pushed: 2024-05-23T15:33:20.000Z (about 2 years ago)
- Last Synced: 2025-07-09T13:36:27.455Z (11 months ago)
- Topics: bicoherence, bispectrum, r
- Language: R
- Homepage: https://tabe.github.io/rhosa/
- Size: 9.12 MB
- Stars: 0
- Watchers: 1
- Forks: 1
- Open Issues: 0
-
Metadata Files:
- Readme: README.Rmd
- License: COPYING
Awesome Lists containing this project
README
---
output: github_document
bibliography: vignettes/data/references.bib
link-citations: true
---
```{r, include = FALSE}
knitr::opts_chunk$set(
collapse = TRUE,
comment = "#>"
)
```
# rhosa: Higher-Order Spectral Analysis in R
[](https://CRAN.R-project.org/package=rhosa)
[](https://github.com/tabe/rhosa/actions)
[](https://CRAN.R-project.org/package=rhosa)
This package aims to provide functions to estimate higher-order spectra or
polyspectra of multivariate time series, such as bispectrum and
bicoherence [@brillinger_investigation_1998].
They are useful for e.g. detecting nonlinear interaction between
stationary time series driven by periodic signals [@abe_detecting_2024].
## Installation
You can install the released version of rhosa from [CRAN](https://CRAN.R-project.org)
with:
``` r
install.packages("rhosa")
```
Alternatively, the development version from [GitHub](https://github.com/)
with [remotes](https://cran.r-project.org/package=remotes):
``` r
# install.packages("remotes")
remotes::install_github("tabe/rhosa")
```
## Acknowledgement
The author thanks Alessandro E. P. Villa for his generous support to this project.
## References