Learn R Programming

rhosa: Higher-Order Spectral Analysis in R

This package aims to provide functions to analyze and estimate higher-order spectra or polyspectra of multivariate time series, such as bispectrum and bicoherence (Brillinger and Irizarry 1998).

Installation

You can install the released version of rhosa from CRAN with:

install.packages("rhosa")

Alternatively, the development version from GitHub with remotes:

# install.packages("remotes")
remotes::install_github("tabe/rhosa")

Acknowledgement

The author thanks Alessandro E. P. Villa for his generous support to this project.

References

Brillinger, D. R., and R. A. Irizarry. 1998. “An Investigation of the Second- and Higher-Order Spectra of Music.” Signal Processing 65 (2): 161–79. https://doi.org/10.1016/S0165-1684(97)00217-X.

Copy Link

Version

Install

install.packages('rhosa')

Monthly Downloads

535

Version

0.2.0

License

GPL-3

Maintainer

Takeshi Abe

Last Published

January 21st, 2022

Functions in rhosa (0.2.0)

mode_matching

Estimate cross-bicoherence's empirical null distribution by a mode matching method
cross_bicoherence

Estimate cross-bicoherence from time series data.
.hamming_window

Hamming window function
cross_bispectrum

Estimate cross-bispectrum from time series data.
three_channel_model

A three-channel model of quadratic phase coupling
bispectrum

Estimate bispectrum from time series data.
bicoherence

Estimate bicoherence from given time series data.
.blackman_window

Blackman window function
.hann_window

Hann window function