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copulaedas
View on CRAN: Click
here
Download and install copulaedas package within the R console
Install from CRAN:
install.packages("copulaedas")
Install from Github:
library("remotes")
install_github("cran/copulaedas")
Install by package version:
library("remotes")
install_version("copulaedas", "1.4.3")
Attach the package and use:
library("copulaedas")
Maintained by
Yasser Gonzalez-Fernandez
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
First Published: 2011-05-24
Latest Update: 2018-07-29
Description:
Provides a platform where EDAs (estimation of
distribution algorithms) based on copulas can be implemented and
studied. The package offers complete implementations of various
EDAs based on copulas and vines, a group of well-known
optimization problems, and utility functions to study the
performance of the algorithms. Newly developed EDAs can be easily
integrated into the package by extending an S4 class with generic
functions for their main components.
How to cite:
Yasser Gonzalez-Fernandez (2011). copulaedas: Estimation of Distribution Algorithms Based on Copulas. R package version 1.4.3, https://cran.r-project.org/web/packages/copulaedas. Accessed 11 Apr. 2025.
Previous versions and publish date:
Other packages that cited copulaedas R package
View copulaedas citation profile
Other R packages that copulaedas depends,
imports, suggests or enhances
Complete documentation for copulaedas
Functions, R codes and Examples using
the copulaedas R package
Some associated functions: CEDA-class . EDA-class . EDAResult-class . EDAResults-class . VEDA-class . edaCriticalPopSize . edaIndepRuns . edaOptimize . edaReplace . edaReport . edaRun . edaSeed . edaSelect . edaTerminate . margins . problems .
Some associated R codes: CEDA.R . EDA.R . VEDA.R . edaCriticalPopSize.R . edaIndepRuns.R . edaOptimize.R . edaReplace.R . edaReport.R . edaRun.R . edaSeed.R . edaSelect.R . edaTerminate.R . margins.R . problems.R . Full copulaedas package functions and examples
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