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optimx  

Expanded Replacement and Extension of the 'optim' Function
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("optimx", "2024-12.2")



Attach the package and use:
library("optimx")
Maintained by
John C Nash
[Scholar Profile | Author Map]
First Published: 2010-08-02
Latest Update: 2023-08-14
Description:
Provides a replacement and extension of the optim() function to call to several function minimization codes in R in a single statement. These methods handle smooth, possibly box constrained functions of several or many parameters. Note that function 'optimr()' was prepared to simplify the incorporation of minimization codes going forward. Also implements some utility codes and some extra solvers, including safeguarded Newton methods. Many methods previously separate are now included here. This is the version for CRAN.
How to cite:
John C Nash (2010). optimx: Expanded Replacement and Extension of the 'optim' Function. R package version 2024-12.2, https://cran.r-project.org/web/packages/optimx. Accessed 04 Apr. 2025.
Previous versions and publish date:
0.84 (2010-08-02 07:48), 0.88 (2010-10-23 09:44), 2011-2.27 (2011-03-01 08:32), 2011-2.29 (2011-07-29 16:32), 2011-8.1 (2011-08-21 12:09), 2011-8.2 (2012-02-20 21:06), 2012-3.31 (2012-03-31 07:20), 2012.04.01 (2012-04-22 07:43), 2013.8.6 (2014-05-05 16:21), 2013.8.7 (2014-11-13 08:42), 2014.5.4 (2014-05-05 07:16), 2018-7.10 (2018-09-30 16:50), 2020-1.31 (2020-02-01 22:20), 2020-2.2 (2020-02-07 18:30), 2020-4.2 (2020-04-08 16:20), 2021-6.12 (2021-06-13 20:10), 2021-10.12 (2021-10-13 22:40), 2022-4.30 (2022-05-10 19:50), 2023-8.13 (2023-08-14 09:10), 2023-10.21 (2023-10-24 15:50)
Other packages that cited optimx R package
View optimx citation profile
Other R packages that optimx depends, imports, suggests or enhances
Complete documentation for optimx
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