rpoisD

This function generates a Poisson or a negative binomial distribution for lobsters in the arena

Simulate lobster catch process in a trap fishery. Factors such as lobster density on ocean floor, their movement, trap saturation and bait shrinkage rate can be modeled. Details of the methods for modeling those processes can be found in: Addison and Bell (1997) <doi:10.1071/MF97169>.

Nickchi Payman

LobsterCatch

Models the Capture Processes in American Lobster Trap Fishery

Pourfaraj vahab

Cook Adam

Jamie Tam

rpoisD function

<dl><dt>n</dt>
<dd>is the number of lobsters to be generated</dd>
<dt>lambda</dt>
<dd>is the mean density of lobsters</dd>
<dt>D</dt>
<dd>is the dispersion index to be used. Default value is 1</dd></dl>

Arguments

This function generates  a Poisson or a negative binomial distribution for lobsters in the arena — rpoisD

<dl>

<dt>n</dt>
<dd>is the number of lobsters to be generated</dd>


<dt>lambda</dt>
<dd>is the mean density of lobsters</dd>


<dt>D</dt>
<dd>is the dispersion index to be used. Default value is 1</dd>

</dl>

rpoisD: This function generates a Poisson or a negative binomial distribution for lobsters in the arena

Description

Usage

Value

Arguments