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RcppDE  

Global Optimization by Differential Evolution in C++
View on CRAN: Click here


Download and install RcppDE package within the R console
Install from CRAN:
install.packages("RcppDE")

Install from Github:
library("remotes")
install_github("cran/RcppDE")

Install by package version:
library("remotes")
install_version("RcppDE", "0.1.8")



Attach the package and use:
library("RcppDE")
Maintained by
Dirk Eddelbuettel
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2010-12-13
Latest Update: 2025-02-19
Description:
An efficient C++ based implementation of the 'DEoptim' function which performs global optimization by differential evolution. Its creation was motivated by trying to see if the old approximation "easier, shorter, faster: pick any two" could in fact be extended to achieving all three goals while moving the code from plain old C to modern C++. The initial version did in fact do so, but a good part of the gain was due to an implicit code review which eliminated a few inefficiencies which have since been eliminated in 'DEoptim'.
How to cite:
Dirk Eddelbuettel (2010). RcppDE: Global Optimization by Differential Evolution in C++. R package version 0.1.8, https://cran.r-project.org/web/packages/RcppDE. Accessed 05 Jun. 2026.
Previous versions and publish date:
0.1.0 (2010-12-13 14:25), 0.1.1 (2012-04-09 07:39), 0.1.2 (2013-12-12 13:56), 0.1.3 (2015-08-23 17:36), 0.1.4 (2015-09-05 16:23), 0.1.5 (2016-01-22 14:28), 0.1.6 (2018-06-09 18:56), 0.1.7 (2022-12-20 11:40), 0.1.8 (2025-02-19 01:10)
Other packages that cited RcppDE R package
View RcppDE citation profile
Other R packages that RcppDE depends, imports, suggests or enhances
Complete documentation for RcppDE
Functions, R codes and Examples using the RcppDE R package
Some associated functions: DEoptim-methods . DEoptim.control . DEoptim . 
Some associated R codes: DEoptim.R . RcppExports.R . methods.R . zzz.R .  Full RcppDE package functions and examples
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