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marqLevAlg  

A Parallelized General-Purpose Optimization Based on Marquardt-Levenberg Algorithm
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("marqLevAlg", "2.0.8")



Attach the package and use:
library("marqLevAlg")
Maintained by
Viviane Philipps
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2012-05-10
Latest Update: 2023-03-22
Description:
This algorithm provides a numerical solution to the problem of unconstrained local minimization (or maximization). It is particularly suited for complex problems and more efficient than the Gauss-Newton-like algorithm when starting from points very far from the final minimum (or maximum). Each iteration is parallelized and convergence relies on a stringent stopping criterion based on the first and second derivatives. See Philipps et al, 2021 .
How to cite:
Viviane Philipps (2012). marqLevAlg: A Parallelized General-Purpose Optimization Based on Marquardt-Levenberg Algorithm. R package version 2.0.8, https://cran.r-project.org/web/packages/marqLevAlg
Previous versions and publish date:
1.0 (2012-05-10 06:31), 1.1 (2013-03-18 23:14), 2.0.1 (2019-09-20 11:30), 2.0.2 (2020-03-30 17:40), 2.0.4 (2020-09-12 14:30), 2.0.5 (2021-04-01 20:30), 2.0.6 (2022-03-09 16:20), 2.0.7 (2022-07-08 14:10)
Other packages that cited marqLevAlg R package
View marqLevAlg citation profile
Other R packages that marqLevAlg depends, imports, suggests or enhances
Functions, R codes and Examples using the marqLevAlg R package
Some associated functions: dataEx . deriva . deriva_grad . gradLMM . loglikLMM . marqLevAlg-package . marqLevAlg . print.marqLevAlg . summary.marqLevAlg . 
Some associated R codes: dataEx.R . deriva.R . deriva_grad.R . exemple.R . func.R . func1.R . ghg.R . marqLevAlg-package.R . marqLevAlg.R . print.marqLevAlg.R . searpas.R . summary.marqLevAlg.R . sup.R . valfpa.R .  Full marqLevAlg package functions and examples
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