HookeJeeves: 'nlminb' optimizer

In Rdistance: Density and Abundance from Distance-Sampling Surveys

'nlminb' optimizer

Description

Call R native function 'nlminb' to perform optimization.

Usage

HookeJeeves(ml, strt.lims)

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.

strt.lims

A list containing start, low, and high limits for parameters of the requested likelihood. This list is typically produced by a call to startLimits.

Value

A list with following named components:

• par = parameters

• loglik = objective function value at minimum

• convergence = 0 for yes, other for no

• iterations = number of iterations

• evaluations = function evaluations

• message = a convergence message

• varcovar = a variance covariance matrix of parameters

• limits = low and high limits

Rdistance documentation built on Jan. 10, 2026, 1:07 a.m.