dmat_hsmm2hmm

Creates expanded state-dependent matrix for HMM from aggregated state-dependent observation
matrix.

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

dmat_hsmm2hmm function

<dl><dt>dmat</dt>
<dd>state-dependent observation matrix for aggregated states</dd>
<dt>mv</dt>
<dd>vector of dwell time distribution lengths</dd></dl>

Arguments

Author

Create expanded state-dependent observation matrix for HMM from HSMM — dmat_hsmm2hmm

<dl>

<dt>dmat</dt>
<dd>state-dependent observation matrix for aggregated states</dd>


<dt>mv</dt>
<dd>vector of dwell time distribution lengths</dd>

</dl>

dmat_hsmm2hmm: Create expanded state-dependent observation matrix for HMM from HSMM

Description

Usage

Value

Arguments

Author