carMaxBound

Calculate the upper bound for the <code>gamma</code> parameter of the <code>dcar_proper</code> distribution

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Wei Zhang

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Jagadish Babu

Lauren Ponisio

Peter Sujan

carMaxBound function

<dl><dt>C</dt>
<dd>vector of the same length as <code>adj</code>, giving the normalized weights associated with each pair of neighboring locations.</dd>
<dt>adj</dt>
<dd>vector of indices of the adjacent locations (neighbors) of each spatial location. This is a sparse representation of the full adjacency matrix.</dd>
<dt>num</dt>
<dd>vector giving the number of neighboring locations of each spatial location, with length equal to the number of locations.</dd>
<dt>M</dt>
<dd>vector giving the diagonal elements of the conditional variance matrix, with length equal to the number of locations.</dd></dl>

Arguments

Author

Calculate the upper bound for the autocorrelation parameter of the dcar_proper distribution — carMaxBound

<dl>

<dt>C</dt>
<dd>vector of the same length as <code>adj</code>, giving the normalized weights associated with each pair of neighboring locations.</dd>


<dt>adj</dt>
<dd>vector of indices of the adjacent locations (neighbors) of each spatial location. This is a sparse representation of the full adjacency matrix.</dd>


<dt>num</dt>
<dd>vector giving the number of neighboring locations of each spatial location, with length equal to the number of locations.</dd>


<dt>M</dt>
<dd>vector giving the diagonal elements of the conditional variance matrix, with length equal to the number of locations.</dd>

</dl>

Calculate the upper bound for the autocorrelation parameter of the <code>dcar_proper</code> distribution

carMaxBound: Calculate the upper bound for the autocorrelation parameter of the `dcar_proper` distribution

Description

Usage

Value

Arguments

Author

Details

See Also