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OptimModel  

Perform Nonlinear Regression Using 'optim' as the Optimization Engine
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("OptimModel", "2.0-1")



Attach the package and use:
library("OptimModel")
Maintained by
Steven Novick
[Scholar Profile | Author Map]
First Published: 2024-03-12
Latest Update: 2024-03-12
Description:
A wrapper for 'optim' for nonlinear regression problems; see Nocedal J and Write S (2006, ISBN: 978-0387-30303-1). Performs ordinary least squares (OLS), iterative re-weighted least squares (IRWLS), and maximum likelihood (MLE). Also includes the robust outlier detection (ROUT) algorithm; see Motulsky, H and Brown, R (2006).
How to cite:
Steven Novick (2024). OptimModel: Perform Nonlinear Regression Using 'optim' as the Optimization Engine. R package version 2.0-1, https://cran.r-project.org/web/packages/OptimModel. Accessed 21 Feb. 2025.
Previous versions and publish date:
No previous versions
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Complete documentation for OptimModel
Functions, R codes and Examples using the OptimModel R package
Full OptimModel package functions and examples
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