Density function of von Mises distribution

Fitting hidden Markov models using automatic differentiation
and Laplace approximation, allowing for fast inference and flexible covariate
effects (including random effects and smoothing splines) on model parameters.
The package is described by Michelot (2022) <doi:10.48550/arXiv.2211.14139>.

Theo Michelot

hmmTMB

Fit Hidden Markov Models using Template Model Builder

Richard Glennie

dvm function

<dl><dt>x</dt>
<dd>Angle</dd>
<dt>mu</dt>
<dd>Mean parameter</dd>
<dt>kappa</dt>
<dd>Concentration parameter</dd>
<dt>log</dt>
<dd>Should log-density be returned?</dd></dl>

Arguments

Density function of von Mises distribution — dvm

<dl>

<dt>x</dt>
<dd>Angle</dd>


<dt>mu</dt>
<dd>Mean parameter</dd>


<dt>kappa</dt>
<dd>Concentration parameter</dd>


<dt>log</dt>
<dd>Should log-density be returned?</dd>

</dl>

dvm: Density function of von Mises distribution

Description

Usage

Value

Arguments