Package: rhosa 0.3.0

rhosa: Higher-Order Spectral Analysis

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) <doi:10.1016/S0165-1684(97)00217-X> for estimating bispectrum or bicoherence, Lii and Helland (1981) <doi:10.1145/355958.355961> for cross-bispectrum, and Kim and Powers (1979) <doi:10.1109/TPS.1979.4317207> for cross-bicoherence.

Authors:Takeshi Abe [aut, cre]

rhosa_0.3.0.tar.gz
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rhosa.pdf |rhosa.html
rhosa/json (API)
NEWS

# Install 'rhosa' in R:
install.packages('rhosa', repos = c('https://tabe.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Bug tracker:https://github.com/tabe/rhosa/issues

On CRAN:

bicoherencebispectrum

4.30 score 5 scripts 545 downloads 8 exports 0 dependencies

Last updated 6 months agofrom:3bd02ae454. Checks:OK: 7. Indexed: yes.

TargetResultDate
Doc / VignettesOKOct 31 2024
R-4.5-winOKOct 31 2024
R-4.5-linuxOKOct 31 2024
R-4.4-winOKOct 31 2024
R-4.4-macOKOct 31 2024
R-4.3-winOKOct 31 2024
R-4.3-macOKOct 31 2024

Exports:bicoherencebiperiodogrambispectrumcross_bicoherencecross_bispectrumkim_and_powers_modelmode_matchingthree_channel_model

Dependencies:

Detecting quadratic phase coupling from time series data by rhosa

Rendered fromquadratic_phase_coupling.Rmdusingknitr::rmarkdownon Oct 31 2024.

Last update: 2022-01-21
Started: 2020-07-21

Getting started with a simple example

Rendered fromexample.Rmdusingknitr::rmarkdownon Oct 31 2024.

Last update: 2022-01-21
Started: 2022-01-13