omega

Computes 1 to k-step forward transition proportions in each state with a single transition matrix or a 3-d array of transition matrices.

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

omega function

<dl><dt>x</dt>
<dd>either a transition matrix, list of transition matrices or 3-d array ( a set of transition matrices)</dd>
<dt>k</dt>
<dd>if x is a transition matrix, this is number of steps 1 to k</dd>
<dt>labels</dt>
<dd>labels for states except for last which is always dead and is added at end</dd></dl>

Arguments

Author

Compute 1 to k-step transition proportions — omega

<dl>

<dt>x</dt>
<dd>either a transition matrix, list of transition matrices or 3-d array ( a set of transition matrices)</dd>


<dt>k</dt>
<dd>if x is a transition matrix, this is number of steps 1 to k</dd>


<dt>labels</dt>
<dd>labels for states except for last which is always dead and is added at end</dd>

</dl>

omega: Compute 1 to k-step transition proportions

Description

Usage

Arguments

Author