prob.deriv {mrds} | R Documentation |
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 |
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
prob.se