declustpeaks

<code>declustpeaks</code> is a function that takes in a data vector, minimum peak distance, minimum run distance, and a threshold value.
It finds peaks in the data vector based on the minimum peak distance and threshold value.
It then declusters the peaks based on the minimum run distance and threshold value.
The function returns a data frame with information about the peaks, including the peak value,
start and end indices, duration, and cluster information.

Adaptation of the 'Matlab' 'tsEVA' toolbox developed by Lorenzo Mentaschi
available here:
<https://github.com/menta78/tsEva>. It contains an implementation of the
Transformed-Stationary (TS) methodology for non-stationary extreme
value Analysis (EVA) as described in Mentaschi et al. (2016) <doi:10.5194/hess-20-3527-2016>.
In synthesis this approach consists in:
(i) transforming a non-stationary time series into a
stationary one to which the stationary extreme value theory can be applied; and
(ii) reverse-transforming the result into a non-stationary extreme
value distribution.
'RtsEva' offers several options for trend estimation (mean, extremes, seasonal)
and contains multiple plotting functions displaying different aspects
of the non-stationarity of extremes.

Alois Tilloy

RtsEva

Performs the Transformed-Stationary Extreme Values Analysis

declustpeaks function

<dl><dt>data</dt>
<dd>A numeric vector representing the data.</dd>
<dt>minpeakdistance</dt>
<dd>An integer specifying the minimum distance between peaks.</dd>
<dt>minrundistance</dt>
<dd>An integer specifying the minimum distance between runs.</dd>
<dt>qt</dt>
<dd>A numeric value representing the threshold for peak detection.</dd></dl>

Arguments

declustpeaks — declustpeaks

<dl>

<dt>data</dt>
<dd>A numeric vector representing the data.</dd>


<dt>minpeakdistance</dt>
<dd>An integer specifying the minimum distance between peaks.</dd>


<dt>minrundistance</dt>
<dd>An integer specifying the minimum distance between runs.</dd>


<dt>qt</dt>
<dd>A numeric value representing the threshold for peak detection.</dd>

</dl>

declustpeaks: declustpeaks

Description

Usage

Value

Arguments

Examples