df_qevd

Performs extreme value analysis at multiple locations using functions from the 'evd' package. Supports both point-based and gridded input data using the 'terra' package, enabling flexible looping across spatial datasets for batch processing of generalised extreme value, Gumbel fits.

Julian O'Grady

loopevd

Loop Functions for Extreme Value Distributions

df_qevd function

<dl><dt>x</dt>
<dd>A data.frame of EVD parameters</dd>
<dt>p</dt>
<dd>Probability value (e.g. 0.99)</dd>
<dt>evd_mod_str</dt>
<dd>One of "fgumbel", "fgev", or "fgumbelx"</dd>
<dt>interval</dt>
<dd>Optional; interval passed to uniroot when needed</dd>
<dt>lower.tail</dt>
<dd>Logical; if TRUE (default), computes P(\(x \le y\))</dd>
<dt>cores</dt>
<dd>Number of cores to use for parallel processing (default is 1)</dd></dl>

Arguments

Return a vector of EVD Quantiles — df_qevd

<dl>

<dt>x</dt>
<dd>A data.frame of EVD parameters</dd>


<dt>p</dt>
<dd>Probability value (e.g. 0.99)</dd>


<dt>evd_mod_str</dt>
<dd>One of "fgumbel", "fgev", or "fgumbelx"</dd>


<dt>interval</dt>
<dd>Optional; interval passed to uniroot when needed</dd>


<dt>lower.tail</dt>
<dd>Logical; if TRUE (default), computes P(\(x \le y\))</dd>


<dt>cores</dt>
<dd>Number of cores to use for parallel processing (default is 1)</dd>

</dl>

df_qevd: Return a vector of EVD Quantiles

Description

Usage

Value

Arguments