Package: emaxnls
Title: Nonlinear Least Squares Estimation for Emax Regression Models
Version: 0.1.1
Authors@R: 
    person("Danielle", "Navarro", , "djnavarro@protonmail.com", role = c("aut", "cre", "cph"),
           comment = c(ORCID = "0000-0001-7648-6578"))
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.
License: MIT + file LICENSE
URL: https://github.com/djnavarro/emaxnls,
        https://emaxnls.djnavarro.net/
BugReports: https://github.com/djnavarro/emaxnls/issues
Depends: R (>= 3.5)
Imports: Deriv, minpack.lm, mvtnorm, rlang, stats, tibble, utils
Suggests: spelling, testthat (>= 3.0.0)
Config/Needs/website: djnavarro/waeponwifestre
Config/testthat/edition: 3
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.3.3
Language: en-US
NeedsCompilation: no
Packaged: 2026-06-25 12:45:44 UTC; danielle
Author: Danielle Navarro [aut, cre, cph] (ORCID:
    <https://orcid.org/0000-0001-7648-6578>)
Maintainer: Danielle Navarro <djnavarro@protonmail.com>
Repository: CRAN
Date/Publication: 2026-06-30 20:10:02 UTC
Built: R 4.6.0; ; 2026-06-30 21:57:48 UTC; unix
