prob.deriv {mrds} | R Documentation |
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 |
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
[Package mrds version 2.3.0 Index]