cjs.hessian

A wrapper function that sets up call to hessian function to compute and then
invert the hessian.

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.hessian function

<dl><dt>model</dt>
<dd>fitted CJS model from function crm</dd></dl>

Arguments

Author

Compute variance-covariance matrix for fitted CJS model — cjs.hessian

<dl>

<dt>model</dt>
<dd>fitted CJS model from function crm</dd>

</dl>

cjs.hessian: Compute variance-covariance matrix for fitted CJS model

Description

Usage

Value

Arguments

Author