<?xml version="1.0" encoding="UTF-8"?>
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  <dc:title>Nonlinear Least Squares Estimation for Emax Regression Models</dc:title>
  <dc:title>R package emaxnls version 0.2.0</dc:title>
  <dc: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.</dc:description>
  <dc:type>Software</dc:type>
  <dc:relation>Depends: R (&gt;= 3.5)</dc:relation>
  <dc:relation>Imports: Deriv, minpack.lm, mvtnorm, rlang, stats, utils</dc:relation>
  <dc:relation>Suggests: erplots, spelling, testthat (&gt;= 3.0.0), tibble</dc:relation>
  <dc:creator>Danielle Navarro &lt;djnavarro@protonmail.com&gt;</dc:creator>
  <dc:publisher>Comprehensive R Archive Network (CRAN)</dc:publisher>
  <dc:contributor>Danielle Navarro [aut, cre] (ORCID:
    &lt;https://orcid.org/0000-0001-7648-6578&gt;)</dc:contributor>
  <dc:rights>MIT + file LICENSE (https://CRAN.R-project.org/package=emaxnls/LICENSE)</dc:rights>
  <dc:date>2026-09-16</dc:date>
  <dc:format>application/tgz</dc:format>
  <dc:identifier>https://CRAN.R-project.org/package=emaxnls</dc:identifier>
  <dc:identifier>doi:10.32614/CRAN.package.emaxnls</dc:identifier>
  <dc:language>en-GB</dc:language>
</oai_dc:dc>
