explore

Create a plot of the Weibull or Generalised Extreme Values (GEV) distribution
for given values of shape, scale and location parameters. Used to determine 
initial parameter values for <code>weightwin</code>.

Contains functions to detect and visualise periods of climate
sensitivity (climate windows) for a given biological response.
Please see van de Pol et al. (2016) <doi:10.1111/2041-210X.12590>
and Bailey and van de Pol (2016) <doi:10.1371/journal.pone.0167980> for details.

Liam Bailey

climwin

Climate Window Analysis

Martijn van de Pol

explore function

<dl><dt>shape</dt>
<dd>A parameter that determines the shape of the distribution. 
Should be greater than 0.</dd>
<dt>scale</dt>
<dd>A parameter that determines the scale of the distribution. 
Should be greater than 0.</dd>
<dt>loc</dt>
<dd>A parameter that determines the location of the distribution. 
Should be less than or equal to 0.</dd>
<dt>weightfunc</dt>
<dd>Choose whether to use a weibull ("W") or GEV ("G")
distribution.</dd></dl>

Arguments

Martijn van de Pol and Liam D. Bailey

Author

Visualise the weight distribution for given parameter values — explore

<dl>

<dt>shape</dt>
<dd>A parameter that determines the shape of the distribution. 
Should be greater than 0.</dd>


<dt>scale</dt>
<dd>A parameter that determines the scale of the distribution. 
Should be greater than 0.</dd>


<dt>loc</dt>
<dd>A parameter that determines the location of the distribution. 
Should be less than or equal to 0.</dd>


<dt>weightfunc</dt>
<dd>Choose whether to use a weibull ("W") or GEV ("G")
distribution.</dd>

</dl>

explore: Visualise the weight distribution for given parameter values

Description

Usage

Value

Arguments

Author

Examples