mrds: prob.se – R documentation

Become an expert in R — Interactive courses, Cheat Sheets, certificates and more!

prob.se

Average p and average p(0) variance

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

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

`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

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

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

Jeff Laake