plotStationary

Plot stationary state probabilities

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

moveHMM

Animal Movement Modelling using Hidden Markov Models

Roland Langrock

Toby Patterson

Brett McClintock

Eric Rexstad

plotStationary function

<dl><dt>m</dt>
<dd>An object <code>moveHMM</code></dd>
<dt>col</dt>
<dd>Vector or colors for the states (one color per state).</dd>
<dt>plotCI</dt>
<dd>Logical. Should 95% confidence intervals be plotted? (Default: FALSE)</dd>
<dt>alpha</dt>
<dd>Significance level of the confidence intervals if plotCI=TRUE.
Default: 0.95 (i.e. 95% CIs).</dd></dl>

Arguments

Plot stationary state probabilities — plotStationary

<dl>

<dt>m</dt>
<dd>An object <code>moveHMM</code></dd>


<dt>col</dt>
<dd>Vector or colors for the states (one color per state).</dd>


<dt>plotCI</dt>
<dd>Logical. Should 95% confidence intervals be plotted? (Default: FALSE)</dd>


<dt>alpha</dt>
<dd>Significance level of the confidence intervals if plotCI=TRUE.
Default: 0.95 (i.e. 95% CIs).</dd>

</dl>

plotStationary: Plot stationary state probabilities

Description

Usage

Arguments

Examples