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CGNM

0.10.0Package record

Cluster Gauss-Newton Method

0packages depend
7.6Kdownloads / year
43.3%test coverage
13/13flavors OK

Overview

About

Find multiple solutions of a nonlinear least squares problem. Cluster Gauss-Newton method does not assume uniqueness of the solution of the nonlinear least squares problem and compute multiple minimizers. Please cite the following paper when this software is used in your research: Aoki et al. (2020) doi:10.1007/s11081-020-09571-2. Cluster Gauss–Newton method. Optimization and Engineering, 1-31. Please cite the following paper when profile likelihood plot is drawn with this software and used in your research: Aoki and Sugiyama (2024) doi:10.1002/psp4.13055. Cluster Gauss-Newton method for a quick approximation of profile likelihood: With application to physiologically-based pharmacokinetic models. CPT Pharmacometrics Syst Pharmacol.13(1):54-67. GPT based helper bot available at https://chatgpt.com/g/g-684936db9e748191a2796debb00cd755-cluster-gauss-newton-method-helper-bot .

Install

Health

CRAN checks
13OK
Slowest check: 8.6 min · r-oldrel-windows-x86_64
Status changes
  • OK13 OK2026-08-05
  • NOTE12 OK, 1 NOTE2026-08-01
  • OK14 OK2026-03-10
Advisories

none known

Documentation

In release 0.10.0
READMEYes · 418 wordsVignettesYes · 1 · dynamicNEWSNoCitation fileNoWebsitenot declared in DESCRIPTION
Help pages
36 (1 internal)includes a package overview page
Examples that run
68%23 run in a plain check · 11 never run
Exported functions with examples
100%
Documented parameters
100%
Return-value docs
100%
Help pages citing references
3%

Downloads

7.6K
CRAN downloads in the past year
Rank #5,407 · ~21/day · ~634/mo
Daily download trend is not available in this view yet.
58130 days
1.5K90 days
7.6K1 year
Compare downloads with other packages →
Also on131 r2u12 autocran

Dependencies

Declared dependencies
6 external dependencies (excludes base and recommended)

Installing CGNM adds 41 packages (23 with compiled code, 37 MB of source tarballs). Heaviest: ggplot2 6.0 MB, bslib 5.6 MB, promises 3.1 MB.

Depends (1)
R >= 3.5.0
Imports (5)
statsggplot2MASSshinymethods
LinkingTo (0)
none
Enhances (0)
none
Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

People & History

People (1)
Author, Maintainer since 0.1.0 (2022)
Releases (15)

Pick two releases to compare their code metrics.

  • 0.10.0Latest
    record
    2026-09-13 · current release · diff ↗ ·
    added 5 exports
    as_CGNM_result_S4, generateCGNM_script, make_ShinyCGNM_initialCondition, make_ShinyCGNM_parameterInfo, make_ShinyCGNM_simulationTimepoints
  • R
    R 4.6.0 released · 2026-04-24
  • 0.9.3
    record
    2026-01-08 · diff ↗
  • 0.9.2
    record
    2025-09-11 · diff ↗ ·
    added 1 export
    compare_profileLikelihood
  • R
    R 4.5.0 released · 2025-04-11
  • 0.9.1
    record
    2025-01-28 · diff ↗ ·
    added 3 exports
    Cluster_Gauss_Newton_EBE_method, make_ShinyCGNM_doseData, make_ShinyCGNM_observationData
  • 0.9.0
    record
    2024-06-12 · diff ↗
  • R
    R 4.4.0 released · 2024-04-24
  • 0.8.0
    record
    2024-04-12 · diff ↗ ·
    added 2 exports
    col_quantile, shinyCGNM
  • 0.6.7
    record
    2024-01-18 · diff ↗
  • 0.6.5
    record
    2023-05-19 · diff ↗ ·
    added 4 exports
    plot_simulationMatrixWithCI, plot_simulationWithCI, suggestInitialLowerRange, suggestInitialUpperRange
  • R
    R 4.3.0 released · 2023-04-21
  • 0.6.2
    record
    2023-01-10 · diff ↗ ·
    added 1 export
    table_profileLikelihoodConfidenceInterval
  • unarchivedReturned to CRAN
    2022-11-01
  • 0.5.1
    record
    2022-11-01 · diff ↗ ·
    added 1 export
    plot_2DprofileLikelihood
  • archivedRemoved from CRAN
    2022-10-24
    issues were not corrected in time
Show 7 earlier eventsHide 7 earlier events
  • 0.4.0
    record
    2022-07-14 · diff ↗ ·
    added 2 exports
    plot_SSRsurface, plot_profileLikelihood
  • 0.3.2
    record
    2022-06-04 · diff ↗ ·
    removed 2 exports
    acceptedIndecies, acceptedIndecies_binary
    added 6 exports
    acceptedIndices, acceptedIndices_binary, plot_goodnessOfFit, plot_paraDistribution_byHistogram, table_parameterSummary, topIndices
  • R
    R 4.2.0 released · 2022-04-22
  • 0.3.1
    record
    2022-03-14 · diff ↗ ·
    added 4 exports
    Cluster_Gauss_Newton_Bootstrap_method, bestApproximateMinimizers, plot_SSR_parameterValue, plot_parameterValue_scatterPlots
  • 0.1.1
    record
    2022-01-10 · diff ↗
  • 0.1.0
    record
    2022-01-06
  • R
    R 4.1.0 released · 2021-05-18

Package metadata

First published
2022-01-06
Total releases
15 / 4 yrs
License
MIT + file LICENSE OSI
Minimum R
≥ 3.5.0
Download size
374 KB

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("CGNM")
Aoki, Y. (2026). CGNM: Cluster Gauss-Newton Method (Version 0.10.0) [Computer software]. https://doi.org/10.32614/CRAN.package.CGNM

This package has no citation file, so citation() returns this entry built from DESCRIPTION.

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 CGNM version 0.10.0 [Data set]. HJJB, LLC. Data release v2026-10-23. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-23, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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