hsmm2hmm

Computes expanded transition matrix for HMM from aggregated state transition
matrix and dwell time distributions.

utility

Functions for fitting various models to capture-recapture data
including mixed-effects Cormack-Jolly-Seber(CJS) and multistate models and
the multi-variate state model structure for survival
estimation and POPAN structured Jolly-Seber models for abundance estimation.
There are also Hidden Markov model (HMM) implementations of CJS and multistate
models with and without state uncertainty and a simulation capability for HMM
models.

Jeff Laake

marked

Mark-Recapture Analysis for Survival and Abundance Estimation

hsmm2hmm function

<dl><dt>omega</dt>
<dd>transition matrix for aggregated states</dd>
<dt>dm</dt>
<dd>list of dwell time distribution vectors; each list element is vector of dwell time probabilities in order of aggregated states</dd>
<dt>eps</dt>
<dd>epsilon value for setting small probabilities to 0; anything less than eps is set to exactly 0.</dd></dl>

Arguments

Author

Compute transition matrix for HMM from HSMM — hsmm2hmm

<dl>

<dt>omega</dt>
<dd>transition matrix for aggregated states</dd>


<dt>dm</dt>
<dd>list of dwell time distribution vectors; each list element is vector of dwell time probabilities in order of aggregated states</dd>


<dt>eps</dt>
<dd>epsilon value for setting small probabilities to 0; anything less than eps is set to exactly 0.</dd>

</dl>

hsmm2hmm: Compute transition matrix for HMM from HSMM

Description

Usage

Value

Arguments

Author