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emaxnls

0.1.1

Nonlinear Least Squares Estimation for Emax Regression Models

0packages depend
346downloads / year
94.3%test coverage
13/13checks pass

Overview

About
Maintained by Danielle NavarroFirst published 2026-07-011 releasesCRAN page ↗GitHub ↗

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.

Install

Health

CRAN checks
13OK
Slowest check: 1.7 min · r-oldrel-windows-x86_64
Code health
Yes
Tests · ratio 0.45
94.3%
Coverage · measured lines
100%
Documentation · exports
7
Dependencies · direct
Check history
  • OK2026-08-05
    13 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
  • NOTE2026-08-01
    12 OK · 1 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
  • OK2026-07-01
    6 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE

Documentation

Documentation
READMEYes · 214 wordsVignettesNopkgdown siteNoNEWSYes · 100% structuredCode of conductNoContributing guideNo
Examples that run
100%
Documented parameters
100%
Return-value docs
100%
References docs
0%

Downloads

346
CRAN downloads in the past year
Rank #24,094 · ~1/day · ~29/mo
Daily download trend is not available in this view yet.
16430 days
34690 days
3461 year
Compare downloads with other packages →
Also on12 r2u

Repository

Repository
2Stars
0Forks
4Open issues
0Open PRs
1Releases
320Commits
1Contributors
320 commits · Last activity 2026-08-09 · +100% stars, 30d

Stars over time

2025-10-19 · 12026-07-26 · 2

Repository practices

Upstream repositoryBeta

4 development-tooling and community-health practices detected across 4 families in the upstream repository

Checks run against github.com/djnavarro/emaxnls on 2026-08-09.

Continuous integration (1)
GitHub Actions
CRAN release process (1)
cran-comments.md
Docs source (1)
README.Rmd
Lint, format, editor (1)
RStudio project
How this is detected·Detection ruleset v1 (2026-07-18)

Dependencies

Declared dependencies
7 external dependencies (excludes base and recommended)
Depends (1)
R >= 3.5
LinkingTo (0)
none
Suggests (2)
Enhances (0)
none
Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

Code & Tests

People & History

People (1)
Maintainer (1)
Author, Maintainer, Copyright holder
Authors (1)
Author, Maintainer, Copyright holder
Copyright holders (1)
Author, Maintainer, Copyright holder
Package Timeline

1 release. R releases are shown for context.

  • 0.1.1Latest
    2026-07-01 · current release
  • R
    R 4.6.0 released · 2026-04-24

Package metadata

First published
2026-07-01
Total releases
1 / 1 yrs
License
MIT + file LICENSE OSI
Minimum R
≥ 3.5
Bundled data
7.0 KB / 1 file
Download size
not tracked yet
Installed size
not tracked yet
With dependencies
not tracked yet

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("emaxnls")
Navarro, D. (2026). emaxnls: Nonlinear Least Squares Estimation for Emax Regression Models (Version 0.1.1) [Computer software]. https://doi.org/10.32614/CRAN.package.emaxnls

This is what citation() produces when a package has no citation file of its own. If it prints something else, use that.

Cite the R Observatory

For a number measured here: a download total, a coverage figure, an archival date.

APA

Balamuta, J. J. (2026). R Observatory: Metrics for emaxnls version 0.1.1 [Data set]. HJJB, LLC. Data release v2026-08-11. https://doi.org/10.5281/zenodo.21843040

From data release v2026-08-11, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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