CalcAsymptoticDist

Calculates the asymptotic distribution from an initial distribution vector (V) and a markov movement matrix (M) (rows sum to 1).

internal

Development, simulation testing, and implementation of management procedures for fisheries
(see Carruthers & Hordyk (2018) <doi:10.1111/2041-210X.13081>).

Adrian Hordyk

MSEtool

Management Strategy Evaluation Toolkit

Quang Huynh

Tom Carruthers

Chris Grandin

CalcAsymptoticDist function

<dl><dt>M</dt>
<dd>A square markov movement matrix M of nareas rows and nareas columns (rows sum to 1)</dd>
<dt>V</dt>
<dd>An optional vector nareas long of initial fractions by area (if unspecified the calculation will start from a uniform distribution)</dd>
<dt>nits</dt>
<dd>An integer number of iterations for multiplying V by M to get the asymptotic distribution (~50 is usually enough)</dd>
<dt>plot</dt>
<dd>Should the convergence to a stable distribution be plotted?</dd></dl>

Arguments

Author

Calculates the asymptotic distribution from an initial distribution vector (V) and a markov movement matrix (M) (rows sum to 1) — CalcAsymptoticDist

<dl>

<dt>M</dt>
<dd>A square markov movement matrix M of nareas rows and nareas columns (rows sum to 1)</dd>


<dt>V</dt>
<dd>An optional vector nareas long of initial fractions by area (if unspecified the calculation will start from a uniform distribution)</dd>


<dt>nits</dt>
<dd>An integer number of iterations for multiplying V by M to get the asymptotic distribution (~50 is usually enough)</dd>


<dt>plot</dt>
<dd>Should the convergence to a stable distribution be plotted?</dd>

</dl>

CalcAsymptoticDist: Calculates the asymptotic distribution from an initial distribution vector (V) and a markov movement matrix (M) (rows sum to 1)

Description

Usage

Arguments

Author

See Also