prob.deriv

detection function parameter values

model

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)

parfct

1,2,3 for primary, secondary, or duplicates for average
p(0); passed to fct

observer

full fitted ddf model when <code>trial.fi</code> or
<code>io.fi</code> is called from <code>trial</code> or <code>io</code> respectively

fittedmodel

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

Animal abundance estimation via conventional, multiple covariate
and mark-recapture distance sampling (CDS/MCDS/MRDS). Detection function
fitting is performed via maximum likelihood. Also included are diagnostics
and plotting for fitted detection functions. Abundance estimation is via a
Horvitz-Thompson-like estimator.

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

Description

Usage

Arguments

Value

Details

See Also