peacots: Periodogram Peaks in Correlated Time Series

Calculates the periodogram of a time series, maximum-likelihood fits an Ornstein-Uhlenbeck state space (OUSS) null model and evaluates the statistical significance of periodogram peaks against the OUSS null hypothesis. The OUSS is a parsimonious model for stochastically fluctuating variables with linear stabilizing forces, subject to uncorrelated measurement errors. Contrary to the classical white noise null model for detecting cyclicity, the OUSS model can account for temporal correlations typically occurring in ecological and geological time series. Citation: Louca, Stilianos and Doebeli, Michael (2015) <doi:10.1890/14-0126.1>.

Version:	1.3.2
Depends:	stats, graphics
Published:	2024-04-30
DOI:	10.32614/CRAN.package.peacots
Author:	Stilianos Louca [aut, cre, cph]
Maintainer:	Stilianos Louca <louca.research at gmail.com>
License:	GPL-3
NeedsCompilation:	no
Citation:	peacots citation info
In views:	TimeSeries
CRAN checks:	peacots results

Documentation:

Reference manual:

peacots.pdf

Downloads:

Package source:	peacots_1.3.2.tar.gz
Windows binaries:	r-devel: peacots_1.3.2.zip, r-release: peacots_1.3.2.zip, r-oldrel: peacots_1.3.2.zip
macOS binaries:	r-release (arm64): peacots_1.3.2.tgz, r-oldrel (arm64): peacots_1.3.2.tgz, r-release (x86_64): peacots_1.3.2.tgz, r-oldrel (x86_64): peacots_1.3.2.tgz
Old sources:	peacots archive

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