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rhosa  

Higher-Order Spectral Analysis
View on CRAN: Click here


Download and install rhosa package within the R console
Install from CRAN:
install.packages("rhosa")

Install from Github:
library("remotes")
install_github("cran/rhosa")

Install by package version:
library("remotes")
install_version("rhosa", "0.3.0")



Attach the package and use:
library("rhosa")
Maintained by
Takeshi Abe
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2020-08-10
Latest Update: 2022-01-21
Description:
Higher-order spectra or polyspectra of time series, such as bispectrum and bicoherence, have been investigated in abundant literature and applied to problems of signal detection in a wide range of fields. This package aims to provide a simple API to estimate and analyze them. The current implementation is based on Brillinger and Irizarry (1998) for estimating bispectrum or bicoherence, Lii and Helland (1981) for cross-bispectrum, and Kim and Powers (1979) for cross-bicoherence.
How to cite:
Takeshi Abe (2020). rhosa: Higher-Order Spectral Analysis. R package version 0.3.0, https://cran.r-project.org/web/packages/rhosa. Accessed 06 Nov. 2024.
Previous versions and publish date:
0.1.0 (2020-08-10 15:00), 0.2.0 (2022-01-21 10:12)
Other packages that cited rhosa R package
View rhosa citation profile
Other R packages that rhosa depends, imports, suggests or enhances
Complete documentation for rhosa
Functions, R codes and Examples using the rhosa R package
Some associated functions: bicoherence . bispectrum . cross_bicoherence . cross_bispectrum . dot-blackman_window . dot-hamming_window . dot-hann_window . mode_matching . three_channel_model . 
Some associated R codes: assertion.R . bispectra.R . cross_bispectra.R . mode_matching.R . model.R . window_functions.R . zzz.R .  Full rhosa package functions and examples
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