moveHMM

This constructor is not intended to be used, except inside the function
<code>fitHMM</code>. Refer to the documentation for that function.

Provides tools for animal movement modelling using hidden Markov
models. These include processing of tracking data, fitting hidden Markov models
to movement data, visualization of data and fitted model, decoding of the state
process, etc. <doi:10.1111/2041-210X.12578>.

Theo Michelot

Animal Movement Modelling using Hidden Markov Models

Roland Langrock

Toby Patterson

Brett McClintock

Eric Rexstad

moveHMM function

<dl><dt>m</dt>
<dd>A list of attributes of the fitted model: <code>mle</code> (maximum
likelihood estimates of model parameters), <code>data</code> (movement data),
<code>mod</code> (output of numerical optimizer <code>nlm</code>), <code>conditions</code>
(few conditions used to fit the model: <code>stepDist</code>, <code>angleDist</code>,
<code>zeroInflation</code>, <code>estAngleMean</code>, <code>stationary</code>, and
<code>formula</code>), <code>rawCovs</code> (optional -- only if there are covariates
in the data).</dd></dl>

Arguments

Constructor of moveHMM objects — moveHMM

<dl>

<dt>m</dt>
<dd>A list of attributes of the fitted model: <code>mle</code> (maximum
likelihood estimates of model parameters), <code>data</code> (movement data),
<code>mod</code> (output of numerical optimizer <code>nlm</code>), <code>conditions</code>
(few conditions used to fit the model: <code>stepDist</code>, <code>angleDist</code>,
<code>zeroInflation</code>, <code>estAngleMean</code>, <code>stationary</code>, and
<code>formula</code>), <code>rawCovs</code> (optional -- only if there are covariates
in the data).</dd>

</dl>

moveHMM: Constructor of `moveHMM` objects

Description

Usage

Value

Arguments