ICAOD: Imperialist Competitive Algorithm for Optimal Designs
Version 0.9.2

Finding locally D-optimal, minimax D-optimal, standardized maximin D-optimal, optim-on-the-average and multiple objective optimal designs for nonlinear models. Different Fisher information matrices can also be set by user. There are also useful functions for verifying the optimality of the designs with respect to different criteria by equivalence theorem. ICA is a meta-heuristic evolutionary algorithm inspired from the socio-political process of humans. See Masoudi et al. (2016) .

AuthorEhsan Masoudi [aut, cre], Heinz Holling [aut], Weng Kee Wong [aut]
Date of publication2017-01-09 09:49:29
MaintainerEhsan Masoudi <ehsan.masoudi@wwu.de>
LicenseGPL (>= 2)
Version0.9.2
URL https://github.com/ehsan66/ICAOD
Package repositoryView on CRAN
InstallationInstall the latest version of this package by entering the following in R:
install.packages("ICAOD")

Getting started

README.md

Popular man pages

equivalence: Checking optimality of a design with respect to locally...
equivalence_ave: Checking the optimality of a design with respect to the...
FIM_exp_2par: Fisher information matrix for the two-parameter exponential...
FIM_logistic: Fisher information matrix for the two-parameter logistic...
FIM_power_logistic: Fisher information matrix for the power logistic model.
ICAOD: ICAOD: finds optimal designs for nonlinear models
mica: Imperialist Competitive Algorithm to find locally, minimax...
See all...

All man pages Function index File listing

Man pages

ave: Imperialist Competitive Algorithm to find optimum...
equivalence: Checking optimality of a design with respect to locally...
equivalence_ave: Checking the optimality of a design with respect to the...
equivalence_multiple: Checking the optimality of a given design with respect to the...
FIM_comp_inhibition: Fisher information matrix for the competitive inhibition...
FIM_emax_3par: Fisher information matrix for the three-parameter emax model.
FIM_exp_2par: Fisher information matrix for the two-parameter exponential...
FIM_exp_3par: Fisher information matrix for the three-parameter exponential...
FIM_logisitic_1par: Fisher information matrix for the one-parameter logistic...
FIM_logistic: Fisher information matrix for the two-parameter logistic...
FIM_logistic_4par: Fisher information matrix for the four parameter logistic...
FIM_loglin: Fisher information matrix for the log-linear model.
FIM_michaelis: Fisher information matrix for the Michaelis-Menten model.
FIM_mixed_inhibition: Fisher information matrix for the mixed inhibition...
FIM_noncomp_inhibition: Fisher information matrix for the noncompetitive inhibition...
FIM_power_logistic: Fisher information matrix for the power logistic model.
FIM_uncomp_inhibition: Fisher information matrix for the uncompetitive inhibition...
ICAOD: ICAOD: finds optimal designs for nonlinear models
iterate: update the object by running the ICA algorithm for more...
iterate.ICA: Update an object of class 'ICA'
mica: Imperialist Competitive Algorithm to find locally, minimax...
multica_4pl: Imperialist Competitive Algorithm to find multiple-objective...
plot.ICA: Plot method for an object of class "ICA".
print.equivalence: print equivalence object
print.ICA: Print method for an object of class "ICA"

Functions

Files

src
src/FIM_logistic_1par.cpp
src/FIM_mixed_inhibition.cpp
src/FIM_michaelis.cpp
src/FIM_emax_3par.cpp
src/FIM_logistic_4par.cpp
src/FIM_exp_2par.cpp
src/FIM_comp_inhibition.cpp
src/det2.cpp
src/FIM_power_logistic.cpp
src/FIM_uncomp_inhibition.cpp
src/RcppExports.cpp
src/FIM_logistic.cpp
src/FIM_noncomp_inhibition.cpp
src/FIM_exp_3par.cpp
src/FIM_loglin.cpp
NAMESPACE
R
R/ICA_CheckBoxConstraints.R
R/check_inner.R
R/ICA_plot.R
R/ICA_UniteSimilarEmpires.R
R/common_gosolnp2.R
R/ICA_LocalSearch.R
R/common_find_nearest.R
R/common_create_multiple.R
R/ICA_PossesEmpire.R
R/common_equivalence_ave.R
R/common_find_measure.R
R/common_PlotDLB.R
R/ICA_print.R
R/common_paste_mat.R
R/ICA_CreateInitialEmpires.R
R/ICA_mica.R
R/common_equivalence_multiple.R
R/ICA_RevolveColonies.R
R/common_iterate_methods.R
R/common_mulit_dimensional_design.R
R/ICA_SumToOne.R
R/ICA_ave.R
R/common_Psi_x.R
R/ICA_GenerateNewCountry.R
R/ICAOD.R
R/common_ginv.R
R/ICA_extract_x_w.R
R/common_PlotPsi_x.R
R/ICA_ImperialisticCompetition.R
R/common_optim2.R
R/ICA_AssimilateColonies.R
R/ICA_multica_4pl.R
R/common_Psi_Mu.R
R/ICA_check_maxeval.R
R/RcppExports.R
R/ICA_Calculate_Cost.R
R/common_Psi_xy.R
R/common_equivalence.R
R/common_PlotEffCost.R
R/common_find_on_points.R
R/common_check_lp_fimchar.R
R/common_print_equivalnce.R
R/ICA_iterate.R
R/common_make_vertices.R
R/common_create_locally.R
README.md
MD5
DESCRIPTION
man
man/equivalence_ave.Rd
man/FIM_power_logistic.Rd
man/ave.Rd
man/mica.Rd
man/FIM_exp_3par.Rd
man/FIM_uncomp_inhibition.Rd
man/equivalence_multiple.Rd
man/FIM_logistic.Rd
man/plot.ICA.Rd
man/print.ICA.Rd
man/FIM_logisitic_1par.Rd
man/FIM_loglin.Rd
man/print.equivalence.Rd
man/equivalence.Rd
man/FIM_comp_inhibition.Rd
man/FIM_michaelis.Rd
man/FIM_exp_2par.Rd
man/FIM_emax_3par.Rd
man/iterate.Rd
man/FIM_noncomp_inhibition.Rd
man/FIM_mixed_inhibition.Rd
man/multica_4pl.Rd
man/ICAOD.Rd
man/iterate.ICA.Rd
man/FIM_logistic_4par.Rd
ICAOD documentation built on May 19, 2017, 11:15 p.m.

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