Package: emaxnls
Title: Nonlinear Least Squares Estimation for Emax Regression Models
Version: 0.2.0
Authors@R: 
    person("Danielle", "Navarro", , "djnavarro@protonmail.com", role = c("aut", "cre"),
           comment = c(ORCID = "0000-0001-7648-6578"))
Description: Provides estimation and covariate selection tools for Emax
        regression models using nonlinear least squares methods.
        Supported optimisation algorithms are Gauss-Newton,
        Levenberg-Marquardt, and the port library for bounded
        optimisation. 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, utils
Suggests: erplots, spelling, testthat (>= 3.0.0), tibble
Config/Needs/website: djnavarro/waeponwifestre, rmarkdown, ggplot2
Config/testthat/edition: 3
Encoding: UTF-8
LazyData: true
Roxygen: list(markdown = TRUE)
Language: en-GB
Config/roxygen2/version: 8.1.0
Repository: https://djnavarro.r-universe.dev
Date/Publication: 2026-09-16 23:09:34 UTC
RemoteUrl: https://github.com/djnavarro/emaxnls
RemoteRef: HEAD
RemoteSha: ef99588afaa96efb0d04f8987a202277c466dbfa
NeedsCompilation: no
Packaged: 2026-09-16 23:23:38 UTC; root
Author: Danielle Navarro [aut, cre] (ORCID:
    <https://orcid.org/0000-0001-7648-6578>)
Maintainer: Danielle Navarro <djnavarro@protonmail.com>