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emaxnls

Nonlinear Least Squares Estimation for Emax Regression Models

v0.1.1 · Jun 30, 2026 · MIT + file LICENSE

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.

Downloads

CRAN

40

Last 30 days

24206th

40

Last 90 days

40

Last year

autoCRAN

0

Last 7 days

0

Last 30 days

0

All-time

autoCRAN-only: this name is served only by autoCRAN, so the count is exact.

CRAN Check Status

11 OK
Show all 11 flavors
Flavor Status
r-devel-linux-x86_64-debian-gcc OK
r-devel-linux-x86_64-fedora-clang OK
r-devel-linux-x86_64-fedora-gcc OK
r-devel-windows-x86_64 OK
r-oldrel-macos-arm64 OK
r-oldrel-macos-x86_64 OK
r-oldrel-windows-x86_64 OK
r-patched-linux-x86_64 OK
r-release-macos-arm64 OK
r-release-macos-x86_64 OK
r-release-windows-x86_64 OK

Check History

OK 6 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE Jul 1, 2026

Code

Structure

Lines of code

5,113

Files

77

Compiled share

0%

Has compiled src

No

Language breakdown

R 2,821 (55.2%)Tests 1,271 (24.9%)Docs 1,021 (20%)

API

Exported functions

10

Internal functions

117

Recent export changes

v0.1.1+10 emax_add_term, emax_converged, emax_fun +7 more

Testing & CI

Has tests

Yes

Test-to-code ratio

0.45

testthat edition

3

CI present

No

CI type

[]

PR gated

No

Docs

Return-value doc rate

100%

\dontrun example ratio

0%

Roxygen coverage

100%

Has pkgdown

No

NEWS present

Yes

Health & Security signals

Informational signals; not verdicts.

on.exit coverage

100%

Unsafe pattern score

0

Dep constraint coverage

0%

Secret pattern count

0

Bundled 3rd-party code

2 items

Portability & License

Min R version

3.5

System requirements

C++ standard

License

MIT + file LICENSE

License flags

SPDX valid, OSI approved

History

Versions

1

First release

2026-06-30

Latest release

2026-06-30

Avg cadence

Cold removal rate

Dep drift

0

Per-file churn detail lives in the source pipeline: https://github.com/r-observatory/cran-code-metrics.

Dependency Network

Dependencies Reverse dependencies Deriv minpack.lm mvtnorm rlang tibble emaxnls

Version History

1 tracked
new 0.1.1 Jun 30, 2026