sample.phi.mixmod

Estimates values of phi matrix for use in characterizing distributions
of the movement variables. Not for calling directly by users.

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

sample.phi.mixmod function

<dl><dt>alpha</dt>
<dd>numeric. A hyperparameter for the Dirichlet distribution.</dd>
<dt>nmaxclust</dt>
<dd>numeric. A single number indicating the maximum number of
clusters to test.</dd>
<dt>nbins</dt>
<dd>numeric. A vector of the number of bins used to discretize each
data stream. These must be in the same order as the columns within
<code>dat</code>.</dd>
<dt>ndata.types</dt>
<dd>numeric. The number of data streams being analyzed.</dd>
<dt>nmat</dt>
<dd>A list based on <code>SummarizeDat</code> C++ function to help
with multinomial draws.</dd></dl>

Arguments

Internal function to sample bin estimates for each movement variable — sample.phi.mixmod

<dl>

<dt>alpha</dt>
<dd>numeric. A hyperparameter for the Dirichlet distribution.</dd>


<dt>nmaxclust</dt>
<dd>numeric. A single number indicating the maximum number of
clusters to test.</dd>


<dt>nbins</dt>
<dd>numeric. A vector of the number of bins used to discretize each
data stream. These must be in the same order as the columns within
<code>dat</code>.</dd>


<dt>ndata.types</dt>
<dd>numeric. The number of data streams being analyzed.</dd>


<dt>nmat</dt>
<dd>A list based on <code>SummarizeDat</code> C++ function to help
with multinomial draws.</dd>

</dl>

sample.phi.mixmod: Internal function to sample bin estimates for each movement variable

Description

Usage

Value

Arguments