prob.deriv: Derivatives for variance of average p and average p(0)...

In mrds: Mark-Recapture Distance Sampling

Derivatives for variance of average p and average p(0) variance

Description

Used in call to DeltaMethod from prob.se to get first derivatives

Usage

prob.deriv(par, model, parfct, observer = NULL, fittedmodel = NULL)

Arguments

par	detection function parameter values
model	ddf model object
parfct	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)
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

Vector of values from fct at specified parameter values

Author(s)

Jeff Laake

See Also

prob.se

mrds documentation built on July 9, 2023, 6:06 p.m.