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.
Version: | 0.2.0 |
Imports: | parallel |
Suggests: | ggplot2, knitr, rmarkdown, testthat (≥ 2.1.0) |
Published: | 2022-01-21 |
Author: | Takeshi Abe [aut, cre] |
Maintainer: | Takeshi Abe <tabe at fixedpoint.jp> |
BugReports: | https://github.com/tabe/rhosa/issues |
License: | GPL-3 |
URL: | https://tabe.github.io/rhosa/ |
NeedsCompilation: | no |
Materials: | README NEWS |
In views: | TimeSeries |
CRAN checks: | rhosa results |
Reference manual: | rhosa.pdf |
Vignettes: |
Getting started with a simple example Detecting quadratic phase coupling from time series data by rhosa |
Package source: | rhosa_0.2.0.tar.gz |
Windows binaries: | r-devel: rhosa_0.2.0.zip, r-release: rhosa_0.2.0.zip, r-oldrel: rhosa_0.2.0.zip |
macOS binaries: | r-release (arm64): rhosa_0.2.0.tgz, r-oldrel (arm64): rhosa_0.2.0.tgz, r-release (x86_64): rhosa_0.2.0.tgz, r-oldrel (x86_64): rhosa_0.2.0.tgz |
Old sources: | rhosa archive |
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