emaxnls: Nonlinear Least Squares Estimation for Emax Regression Models

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.

Version:	0.1.1
Depends:	R (≥ 3.5)
Imports:	Deriv, minpack.lm, mvtnorm, rlang, stats, tibble, utils
Suggests:	spelling, testthat (≥ 3.0.0)
Published:	2026-06-30
DOI:	10.32614/CRAN.package.emaxnls (may not be active yet)
Author:	Danielle Navarro [aut, cre, cph]
Maintainer:	Danielle Navarro <djnavarro at protonmail.com>
BugReports:	https://github.com/djnavarro/emaxnls/issues
License:	MIT + file LICENSE
URL:	https://github.com/djnavarro/emaxnls, https://emaxnls.djnavarro.net/
NeedsCompilation:	no
Language:	en-US
Materials:	README, NEWS
CRAN checks:	emaxnls results

Documentation:

Reference manual:

emaxnls.html , emaxnls.pdf

Downloads:

Package source:	emaxnls_0.1.1.tar.gz
Windows binaries:	r-devel: not available, r-release: not available, r-oldrel: not available
macOS binaries:	r-release (arm64): emaxnls_0.1.1.tgz, r-oldrel (arm64): emaxnls_0.1.1.tgz, r-release (x86_64): not available, r-oldrel (x86_64): emaxnls_0.1.1.tgz

Linking:

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