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nloptr  

R Interface to NLopt
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("nloptr", "2.1.1")



Attach the package and use:
library("nloptr")
Maintained by
Aymeric Stamm
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2011-06-22
Latest Update: 2022-05-26
Description:
Solve optimization problems using an R interface to NLopt. NLopt is a free/open-source library for nonlinear optimization, providing a common interface for a number of different free optimization routines available online as well as original implementations of various other algorithms. See for more information on the available algorithms. Building from included sources requires 'CMake'. On Linux and 'macOS', if a suitable system build of NLopt (2.7.0 or later) is found, it is used; otherwise, it is built from included sources via 'CMake'. On Windows, NLopt is obtained through 'rwinlib' for 'R <= 4.1.x' or grabbed from the 'Rtools42 toolchain' for 'R >= 4.2.0'.
How to cite:
Aymeric Stamm (2011). nloptr: R Interface to NLopt. R package version 2.1.1, https://cran.r-project.org/web/packages/nloptr. Accessed 22 Dec. 2024.
Previous versions and publish date:
0.8.2 (2011-06-22 18:32), 0.8.3 (2011-07-29 08:32), 0.8.4 (2011-08-13 14:30), 0.8.5 (2011-09-05 21:37), 0.8.6 (2011-10-24 08:17), 0.8.7 (2011-10-27 09:22), 0.8.8 (2011-11-02 18:26), 0.8.9 (2011-11-23 11:38), 0.9.1 (2013-04-29 10:05), 0.9.3 (2013-07-31 21:12), 0.9.5 (2013-11-13 08:54), 0.9.6 (2013-11-19 17:08), 1.0.0 (2014-02-16 20:42), 1.0.4 (2017-08-22 13:02), 1.2.0 (2018-09-30 17:00), 1.2.1 (2018-10-03 10:01), 1.2.2.1 (2020-03-11 17:31), 1.2.2.2 (2020-07-02 19:32), 1.2.2.3 (2021-11-02 20:53), 1.2.2 (2020-02-29 23:20), 2.0.0 (2022-01-26 19:42), 2.0.1 (2022-05-03 15:00), 2.0.2 (2022-05-19 12:20), 2.0.3 (2022-05-26 17:40), 2.1.0 (2024-06-19 17:30)
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