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emaxnls  

Nonlinear Least Squares Estimation for Emax Regression Models
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("emaxnls", "0.2.0")



Attach the package and use:
library("emaxnls")
Maintained by
Danielle Navarro
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2026-06-30
Latest Update: 2026-06-30
Description:
Provides estimation and covariate selection tools for Emax regression models using nonlinear least squares methods. Supported optimization algorithms are Gauss-Newton, Levenberg-Marquardt, and the port library for bounded optimization. The package also provides tools to assist in simulation work using Emax regression.
How to cite:
Danielle Navarro (2026). emaxnls: Nonlinear Least Squares Estimation for Emax Regression Models. R package version 0.2.0, https://cran.r-project.org/web/packages/emaxnls. Accessed 07 Oct. 2026.
Previous versions and publish date:
(2026-09-17 01:10), 0.1.1 (2026-06-30 22:10)
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Complete documentation for emaxnls
Functions, R codes and Examples using the emaxnls R package
Full emaxnls package functions and examples
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