PGBOAlgorithm-class: Class "PGBOAlgorithm"
In PFIM: Population Fisher Information Matrix

PGBOAlgorithm-class

R Documentation

Class "PGBOAlgorithm"

Description

The class "PGBOAlgorithm" implements the PGBO algorithm: Population Genetics Based Optimizer, developed by Hervé Le Nagard [1].

Objects from the Class `PGBOAlgorithm`

Objects form the Class PGBOAlgorithm can be created by calls of the form PGBOAlgorithm(...) where (...) are the parameters for the PGBOAlgorithm objects.

Slots for `PGBOAlgorithm` objects

N:: A numeric giving the population size.
muteEffect:: A numeric giving the mutation effect.
maxIteration:: A numeric giving the maximum number of iterations.
seed:: A numeric giving the seed.
showProcess:: A boolean to show or not the process.
optimalDesign:: A Design object giving the optimal design.
iterationAndCriteria:: A list giving the optimal criteria at each iteration.

References

[1] Rebecca Bauer, France Mentré, Halima Kaddouri, Jacques Le Bras, Hervé Le Nagard, Benefits of a new Metropolis-Hasting based algorithm, in non-linear regression for estimation of ex vivo antimalarial sensitivity in patients infected with two strains, Computers in Biology and Medicine, Volume 55, 2014, Pages 16-25, ISSN 0010-4825

PFIM documentation built on Nov. 24, 2023, 5:09 p.m.