setOptimizer: Set optimizing routine

In Rdistance: Density and Abundance from Distance-Sampling Surveys

Set optimizing routine

Description

Checks that the maximum likelihood optimizing routine is appropriate for the requested likelihood function. That is, checks that gradient based maximization routines are only applied to smooth likelihoods, and that gradient-free methods are used for non-smooth likelihoods.

Usage

setOptimizer(ml)

Arguments

ml

Either a Rdistance 'model frame' or an Rdistance 'fitted object'. Both are of class "dfunc". Rdistance 'model frames' are lists containing components necessary to estimate a distance function, but no estimates. Rdistance 'model frames' are typically produced by calls to parseModel. Rdistance 'fitted objects' are typically produced by calls to dfuncEstim. 'Fitted objects' are 'model frames' with additional components such as the parameters estimates, log likelihood value, convergence information, and the variance- covariance matrix of the parameters.

Value

If Rdistance options are changed, a list of the options and their original values. The return can be used outside this routine to set options back to their state when this routine was entered. If no options changed, the return in NULL.

Rdistance documentation built on April 23, 2026, 1:06 a.m.