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modelObj

4.3Package record

A Model Object Framework for Regression Analysis

4packages depend
27.2Kdownloads / year
–test coverage
8/13flavors OK

Overview

About

A utility library to facilitate the generalization of statistical methods built on a regression framework. Package developers can use 'modelObj' methods to initiate a regression analysis without concern for the details of the regression model and the method to be used to obtain parameter estimates. The specifics of the regression step are left to the user to define when calling the function. The user of a function developed within the 'modelObj' framework creates as input a 'modelObj' that contains the model and the R methods to be used to obtain parameter estimates and to obtain predictions. In this way, a user can easily go from linear to non-linear models within the same package.

Install

Health

CRAN checks
5NOTE8OK
Check messages
NOTEdependencies in R coder-devel-linux-x86_64-debian-clang, r-devel-linux-x86_64-debian-gcc, r-devel-linux-x86_64-fedora-clang, r-devel-linux-x86_64-fedora-gcc, r-devel-windows-x86_64

r-devel-linux-x86_64-debian-clang, r-devel-linux-x86_64-debian-gcc, r-devel-linux-x86_64-fedora-clang, r-devel-linux-x86_64-fedora-gcc

Base package in Suggests/Enhances imported in NAMESPACE:
  ‘stats’

r-devel-windows-x86_64

Base package in Suggests/Enhances imported in NAMESPACE:
  'stats'

CRAN check page ↗

Slowest check: 1.6 min · r-oldrel-macos-x86_64
Status changes
  • NOTE8 OK, 5 NOTENow
  • NOTE11 OK, 2 NOTE2026-09-12
  • OK13 OK2026-08-05
  • NOTE12 OK, 1 NOTE2026-08-01
  • OK12 OK, 1 FAILURE2026-06-08
  • WARNING12 OK, 1 WARNING2026-06-07
Show 1 earlier changeHide 1 earlier change
  • OK14 OK2026-03-10
Advisories

none known

Documentation

In release 4.3
READMENoVignettesYes · 1 · dynamicNEWSNoCitation fileNoWebsitenot declared in DESCRIPTION
Help pages
11
Examples that run
100%6 run in a plain check
Exported functions with examples
44%
Documented parameters
100%
Return-value docs
100%
Help pages citing references
0%
Vignettes (1)

Downloads

27.2K
CRAN downloads in the past year
Rank #2,744 · ~75/day · ~2.3K/mo
Daily download trend is not available in this view yet.
1.8K30 days
5.5K90 days
27.2K1 year
Compare downloads with other packages →
Also on121 r2u4 autocran76 c2d4u

Dependencies

Declared dependencies
2 external dependencies (excludes base and recommended)

Installing modelObj adds no packages beyond those that come with R.

Depends (1)
methods
Imports (0)
none
LinkingTo (0)
none
Suggests (4)
statsgraphicsknitrrmarkdown
Enhances (0)
none
Reverse dependencies
4direct
1indirect
Depends 1 · Imports 3
Depends, Imports or LinkingTo, most downloaded first

People & History

People (1)
Author, Maintainer since 1.0 (2015)
Listed in earlier versions (1)
Holloway
no longer listed · 4.3
Releases (6)

Pick two releases to compare their code metrics.

  • R
    R 4.6.0 released · 2026-04-24
  • 4.3Latest
    record
    2025-05-03 · current release · diff ↗
  • R
    R 4.5.0 released · 2025-04-11
  • R
    R 4.4.0 released · 2024-04-24
  • R
    R 4.3.0 released · 2023-04-21
  • 4.2
    record
    2022-06-07 · diff ↗
  • R
    R 4.2.0 released · 2022-04-22
  • 4.1
    record
    2021-07-16 · diff ↗
  • R
    R 4.1.0 released · 2021-05-18
  • R
    R 4.0.0 released · 2020-04-24
  • R
    R 3.6.0 released · 2019-04-26
  • 4.0
    record
    2019-02-26 · diff ↗ ·
    added 10 exports
    predictorArgs<-, solverArgs<-, fit, fitObject, model, predict, predictor, predictorArgs, solver, solverArgs
  • R
    R 3.5.0 released · 2018-04-23
  • 3.0
    record
    2017-05-13 · diff ↗
  • R
    R 3.4.0 released · 2017-04-21
  • R
    R 3.3.0 released · 2016-05-03
Show 2 earlier eventsHide 2 earlier events
  • 1.0
    record
    2015-06-10
  • R
    R 3.2.0 released · 2015-04-16

Package metadata

First published
2015-06-10
Total releases
6 / 11 yrs
License
GPL-2 OSI
Download size
328 KB

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("modelObj")
Holloway, S. T. (2025). modelObj: A Model Object Framework for Regression Analysis (Version 4.3) [Computer software]. https://doi.org/10.32614/CRAN.package.modelObj

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 modelObj version 4.3 [Data set]. HJJB, LLC. Data release v2026-10-25. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-25, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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