cjs_delta

mvmscjs_delta

Functions that compute the initial probability distribution for the states. 
Currently only CJS, MS models and MS models with state uncertainty are included and
these all use cjs_delta to assign a known state.

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_delta function

<dl><dt>pars</dt>
<dd>list of real parameter matrices (id by occasion) 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>
<dt>start</dt>
<dd>matrix with values that are first occasion and for some CJS type models the state of first observation</dd></dl>

Arguments

Author

HMM Initial state distribution functions — cjs_delta

<dl>

<dt>pars</dt>
<dd>list of real parameter matrices (id by occasion) 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>


<dt>start</dt>
<dd>matrix with values that are first occasion and for some CJS type models the state of first observation</dd>

</dl>

cjs_delta: HMM Initial state distribution functions

Description

Usage

Value

Arguments

Author

References