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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:
Downloads:
Linking:
Please use the canonical form
https://CRAN.R-project.org/package=emaxnls
to link to this page.
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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