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optimg  

General-Purpose Gradient-Based Optimization
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("optimg", "0.1.2")



Attach the package and use:
library("optimg")
Maintained by
Vithor Rosa Franco
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2021-10-07
Latest Update: 2021-10-07
Description:
Provides general purpose tools for helping users to implement steepest gradient descent methods for function optimization; for details see Ruder (2016) . Currently, the Steepest 2-Groups Gradient Descent and the Adaptive Moment Estimation (Adam) are the methods implemented. Other methods will be implemented in the future.
How to cite:
Vithor Rosa Franco (2021). optimg: General-Purpose Gradient-Based Optimization. R package version 0.1.2, https://cran.r-project.org/web/packages/optimg. Accessed 26 Oct. 2026.
Previous versions and publish date:
No previous versions
Other packages that cited optimg R package
View optimg citation profile
Other R packages that optimg depends, imports, suggests or enhances
Complete documentation for optimg
Functions, R codes and Examples using the optimg R package
Some associated functions: optimg . 
Some associated R codes: algorithms.R . optimg.R .  Full optimg package functions and examples
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