rbeta_dmp

generate random samples from a beta distribution, parameterized as mean and sd, and returning NAs if conditions are not met

Collision Risk Models for avian fauna (seabird and migratory birds) at
offshore wind farms. The base deterministic model is derived from
Band (2012) <https://tethys.pnnl.gov/publications/using-collision-risk-model-assess-bird-collision-risks-offshore-wind-farms>.
This was further expanded on by Masden (2015) <doi:10.7489/1659-1> and code
used here is heavily derived from this work with input from Dr A. Cook at the
British Trust for Ornithology. These collision risk models are useful for
marine ornithologists who are working in the offshore wind industry, particularly
in UK waters. However, many of the species included in the stochastic collision
risk models can also be found in the North Atlantic in the
United States and Canada, and could be applied there.

Grant Humphries

stochLAB

Stochastic Collision Risk Model

rbeta_dmp function

<dl><dt>n</dt>
<dd>An integer value. The number of samples to generate</dd>
<dt>p</dt>
<dd>A decimal value. The value used to calculate parameters for the beta distribution</dd>
<dt>sd</dt>
<dd>A decimal value. The standard deviation of the beta distribution to simulate</dd></dl>

Arguments

Customised sampling functions for the Beta distributions — rbeta_dmp

<dl>

<dt>n</dt>
<dd>An integer value. The number of samples to generate</dd>


<dt>p</dt>
<dd>A decimal value. The value used to calculate parameters for the beta distribution</dd>


<dt>sd</dt>
<dd>A decimal value. The standard deviation of the beta distribution to simulate</dd>

</dl>

rbeta_dmp: Customised sampling functions for the Beta distributions

Description

Usage

Value

Arguments

Examples