prob.se: Average p and average p(0) variance

In mrds: Mark-Recapture Distance Sampling

Average p and average p(0) variance

Description

Computes components of variance for average p=n/N and average p(0) with weights based on empirical covariate distribution, if it contains covariates.

Usage

prob.se(model, fct, vcov, observer = NULL, fittedmodel = NULL)

Arguments

model	ddf model object
fct	function of detection probabilities; currently only average (over covariates) detection probability p integrated over distance or average (over covariates) detection probability at distance 0; p(0)
vcov	variance-covariance matrix of parameter estimates
observer	1,2,3 for primary, secondary, or duplicates for average p(0); passed to fct
fittedmodel	full fitted ddf model when trial.fi or io.fi is called from trial or io respectively

Details

Need to add equations here as I do not think they exist in any of the texts. These should probably be checked with simulation.

Value

var	variance
partial	partial derivatives of parameters with respect to fct
covar	covariance of n and average p or p(0)

Author(s)

Jeff Laake

See Also

prob.deriv

mrds documentation built on May 29, 2024, 3:56 a.m.