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logistic4p

1.6

Logistic Regression with Misclassification in Dependent Variables

0packages depend
2.1Kdownloads / year
test coverage
11/13checks pass

Overview

About
Maintained by Zhiyong ZhangFirst published 2017-05-312 releasesCRAN page ↗

Error in a binary dependent variable, also known as misclassification, has not drawn much attention in psychology. Ignoring misclassification in logistic regression can result in misleading parameter estimates and statistical inference. This package conducts logistic regression analysis with misspecification in outcome variables.

Install

Health

CRAN checks
2NOTE11OK
Failing flavors
  • NOTE r-devel-linux-x86_64-debian-clang
  • NOTE r-devel-linux-x86_64-debian-gcc
Slowest check: 56 s · r-oldrel-windows-x86_64
Code health
None
Tests · ratio 0.00
not tracked
Coverage
100%
Documentation · exports
1
Dependencies · direct
Check history
  • NOTE2026-03-10
    12 OK · 2 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE

Documentation

Documentation
READMENoVignettesNopkgdown siteNoNEWSNoCode of conductNoContributing guideNo
Examples that run
0%
Documented parameters
67%
Return-value docs
100%
References docs
22%

Downloads

2.1K
CRAN downloads in the past year
Rank #20,611 · ~6/day · ~177/mo
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13330 days
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Dependencies

Declared dependencies
0 external dependencies (excludes base and recommended)
Depends (2)
R >= 2.10MASS
Imports (0)
none
LinkingTo (0)
none
Suggests (0)
none
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none
Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

Code & Tests

Datasets

People & History

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Listed in earlier versions (2)
no longer listed · 1.5 to 1.6
no longer listed · 1.5 to 1.6
Package Timeline

2 releases. Pick two to compare their code metrics. R releases are shown for context.

  • R
    R 4.6.0 released · 2026-04-24
  • R
    R 4.5.0 released · 2025-04-11
  • R
    R 4.4.0 released · 2024-04-24
  • 1.6Latest
    2023-10-21 · current release · diff ↗
  • R
    R 4.3.0 released · 2023-04-21
  • R
    R 4.2.0 released · 2022-04-22
  • 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
  • R
    R 3.5.0 released · 2018-04-23
  • 1.5
    2017-05-31
  • R
    R 3.4.0 released · 2017-04-21

Package metadata

First published
2017-05-31
Total releases
2 / 9 yrs
License
GPL
Minimum R
≥ 2.10
Bundled data
23 KB / 1 file
Download size
34 KB
Installed size
not tracked yet
With dependencies
not tracked yet

Cite

Cite this package

Start here. This is the citation for the package itself.

citation("logistic4p")

CRAN DOI

https://doi.org/10.32614/CRAN.package.logistic4p

This is the citation for the package. It is not a citation for the R Observatory.

Cite this page

Use this when the claim is about a measurement on this page.

BibTeX

@misc{robservatorylogistic4p,
  author    = {Balamuta, James Joseph},
  title     = {{R} {Observatory}: Metrics for {logistic4p} version 1.6},
  year      = {2026},
  publisher = {HJJB, LLC},
  url       = {https://r-observatory.thecoatlessprofessor.com/packages/logistic4p},
  note      = {Data set. Data release v2026-08-05}
}

APA

Balamuta, J. J. (2026). R Observatory: Metrics for logistic4p version 1.6 [Data set]. HJJB, LLC. Data release v2026-08-05. https://r-observatory.thecoatlessprofessor.com/packages/logistic4p

RIS

TY  - DATA
AU  - Balamuta, James Joseph
TI  - R Observatory: Metrics for logistic4p version 1.6
PY  - 2026
PB  - HJJB, LLC
N1  - Data release v2026-08-05
UR  - https://r-observatory.thecoatlessprofessor.com/packages/logistic4p
ER  - 

In prose

These package metrics were obtained from the R Observatory (Balamuta, 2026), data release v2026-08-05, https://r-observatory.thecoatlessprofessor.com/packages/logistic4p.

Bound to data release v2026-08-05, which is what makes the numbers on this page reproducible. See how to cite.

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