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:
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