summarize1

Internal function that summarizes bin distributions of track segments

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

summarize1 function

<dl><dt>VecVals</dt>
<dd>A vector of bin values.</dd>
<dt>Breakpts</dt>
<dd>A vector if breakpoints.</dd>
<dt>nobs</dt>
<dd>The number of observations.</dd>
<dt>nbins</dt>
<dd>The number of bins for a given data stream.</dd>
<dt>nbreak</dt>
<dd>The number of estimated breakpoints.</dd></dl>

Arguments

Internal function that summarizes bin distributions of track segments — summarize1

<dl>

<dt>VecVals</dt>
<dd>A vector of bin values.</dd>


<dt>Breakpts</dt>
<dd>A vector if breakpoints.</dd>


<dt>nobs</dt>
<dd>The number of observations.</dd>


<dt>nbins</dt>
<dd>The number of bins for a given data stream.</dd>


<dt>nbreak</dt>
<dd>The number of estimated breakpoints.</dd>

</dl>

summarize1: Internal function that summarizes bin distributions of track segments

Description

Usage

Arguments