mrds: prob.deriv – R documentation

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prob.deriv

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

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

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

`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

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

Vector of values from fct at specified parameter values

Jeff Laake