SampleZAgg

Internal function that samples z1 aggregate

Methods for assessing animal movement from telemetry and biologging
data using non-parametric Bayesian methods. This includes features for pre-
processing and analysis of data, as well as the visualization of results
from the models. This framework does not rely on standard parametric density
functions, which provides flexibility during model fitting. Further details
regarding part of this framework can be found in Cullen et al. (2022) <doi:10.1111/2041-210X.13745>.

Joshua Cullen

bayesmove

Non-Parametric Bayesian Analyses of Animal Movement

Denis Valle

SampleZAgg function

<dl><dt>ntsegm</dt>
<dd>An integer.</dd>
<dt>b1</dt>
<dd>An integer.</dd>
<dt>y1</dt>
<dd>An integer matrix.</dd>
<dt>nmaxclust</dt>
<dd>An integer.</dd>
<dt>lphi1</dt>
<dd>A numeric matrix.</dd>
<dt>ltheta</dt>
<dd>A numeric matrix.</dd>
<dt>zeroes</dt>
<dd>A numeric vector.</dd></dl>

Arguments

Internal function that samples z1 aggregate — SampleZAgg

<dl>

<dt>ntsegm</dt>
<dd>An integer.</dd>


<dt>b1</dt>
<dd>An integer.</dd>


<dt>y1</dt>
<dd>An integer matrix.</dd>


<dt>nmaxclust</dt>
<dd>An integer.</dd>


<dt>lphi1</dt>
<dd>A numeric matrix.</dd>


<dt>ltheta</dt>
<dd>A numeric matrix.</dd>


<dt>zeroes</dt>
<dd>A numeric vector.</dd>

</dl>

SampleZAgg: Internal function that samples z1 aggregate

Description

Usage

Arguments