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.

Version: 1.3
Depends: stats, graphics
Published: 2016-11-13
Author: Stilianos Louca
Maintainer: Stilianos Louca <louca at>
License: GPL-3
NeedsCompilation: no
Citation: peacots citation info
CRAN checks: peacots results


Reference manual: peacots.pdf
Package source: peacots_1.3.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
OS X El Capitan binaries: r-release: peacots_1.3.tgz
OS X Mavericks binaries: r-oldrel: peacots_1.3.tgz
Old sources: peacots archive


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