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R
lme4

golden-class

Class "golden" and Generator for Golden Search Optimizer Class

Description

"golden" is a reference class for a golden search scalar optimizer, for a parameter within an interval.

golden() is the generator for the "golden" class. The optimizer uses reverse communications.

Usage

golden(...)

Arguments

...

(partly optional) arguments passed to new() must be named arguments. lower and upper are the bounds for the scalar parameter; they must be finite.

Extends

All reference classes extend and inherit methods from "envRefClass".

Examples

showClass("golden")

golden(lower= -100, upper= 1e100)
lme4

Linear Mixed-Effects Models using 'Eigen' and S4

v1.1-26
GPL (>= 2)
Authors
Douglas Bates [aut] (<https://orcid.org/0000-0001-8316-9503>), Martin Maechler [aut] (<https://orcid.org/0000-0002-8685-9910>), Ben Bolker [aut, cre] (<https://orcid.org/0000-0002-2127-0443>), Steven Walker [aut] (<https://orcid.org/0000-0002-4394-9078>), Rune Haubo Bojesen Christensen [ctb] (<https://orcid.org/0000-0002-4494-3399>), Henrik Singmann [ctb] (<https://orcid.org/0000-0002-4842-3657>), Bin Dai [ctb], Fabian Scheipl [ctb] (<https://orcid.org/0000-0001-8172-3603>), Gabor Grothendieck [ctb], Peter Green [ctb] (<https://orcid.org/0000-0002-0238-9852>), John Fox [ctb], Alexander Bauer [ctb], Pavel N. Krivitsky [ctb, cph] (<https://orcid.org/0000-0002-9101-3362>, shared copyright on simulate.formula)
Initial release

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