cjs_gamma

ms_gamma

ms2_gamma

Functions that compute the transition matrix for various models. Currently only CJS and MS models
are included.

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

cjs_gamma function

<dl><dt>pars</dt>
<dd>list of real parameter values for each type of parameter</dd>
<dt>m</dt>
<dd>number of states</dd>
<dt>F</dt>
<dd>initial occasion vector</dd>
<dt>T</dt>
<dd>number of occasions</dd></dl>

Arguments

Author

HMM Transition matrix functions — cjs_gamma

<dl>

<dt>pars</dt>
<dd>list of real parameter values for each type of parameter</dd>


<dt>m</dt>
<dd>number of states</dd>


<dt>F</dt>
<dd>initial occasion vector</dd>


<dt>T</dt>
<dd>number of occasions</dd>

</dl>

cjs_gamma: HMM Transition matrix functions

Description

Usage

Value

Arguments

Author

References