runExample

Generate random cyclic time series, analyse them using <code>evaluate.pm</code> and plot the results.

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>.

Stilianos Louca

peacots

Periodogram Peaks in Correlated Time Series

runExample function

<dl><dt>verbose</dt>
<dd>Boolean, whether to print messages to the screen.</dd></dl>

Arguments

Author

Run example evaluate.pm analyses — runExample

<dl>

<dt>verbose</dt>
<dd>Boolean, whether to print messages to the screen.</dd>

</dl>

runExample: Run example `evaluate.pm` analyses

Description

Usage

Value

Arguments

Author

References

See Also

Examples