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PCMRS

0.1-5

Model Response Styles in Partial Credit Models

0packages depend
3.8Kdownloads / year
test coverage
13/13checks pass

Overview

About
Maintained by Gunther SchaubergerFirst published 2017-11-077 releasesCRAN page ↗

Implementation of PCMRS (Partial Credit Model with Response Styles) as proposed in by Tutz, Schauberger and Berger (2018) doi:10.1177/0146621617748322 . PCMRS is an extension of the regular partial credit model. PCMRS allows for an additional person parameter that characterizes the response style of the person. By taking the response style into account, the estimates of the item parameters are less biased than in partial credit models.

Install

Health

CRAN checks
13OK
Slowest check: 3.6 min · r-devel-windows-x86_64
Code health
None
Tests · ratio 0.00
not tracked
Coverage
100%
Documentation · exports
6
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
  • OK2026-04-22
    14 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
  • ERROR2026-04-18
    13 OK · 0 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE
  • OK2026-03-30
    14 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
Show 2 earlier snapshots
  • ERROR2026-03-28
    13 OK · 0 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE
  • OK2026-03-10
    14 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE

Documentation

Documentation
READMENoVignettesNopkgdown siteNoNEWSNoCode of conductNoContributing guideNo
Examples that run
60%
Documented parameters
100%
Return-value docs
100%
References docs
100%

Downloads

3.8K
CRAN downloads in the past year
Rank #12,042 · ~10/day · ~319/mo
Daily download trend is not available in this view yet.
17630 days
82490 days
3.8K1 year
Compare downloads with other packages →
Also on390 r2u15 autocran67 c2d4u

Dependencies

Declared dependencies
7 external dependencies (excludes base and recommended)
Depends (5)
Imports (1)
LinkingTo (2)
Suggests (0)
none
Enhances (0)
none
Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

Code & Tests

Datasets

People & History

People (1)
Maintainer (1)
Author, Maintainer
Authors (1)
Author, Maintainer
Package Timeline

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

  • R
    R 4.6.0 released · 2026-04-24
  • 0.1-5Latest
    2025-07-22 · 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
  • 0.1-4
    2022-05-03 · diff ↗
  • R
    R 4.2.0 released · 2022-04-22
  • 0.1-3
    2021-11-25 · diff ↗
  • R
    R 4.1.0 released · 2021-05-18
  • 0.1-2
    2020-06-11 · diff ↗
  • 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
  • 0.1-1
    2018-01-04 · diff ↗
  • 0.0-2
    2017-11-15 · diff ↗
  • 0.0-1
    2017-11-07
Show 1 earlier events
  • R
    R 3.4.0 released · 2017-04-21

Package metadata

First published
2017-11-07
Total releases
7 / 9 yrs
License
GPL (>= 2) OSI
Bundled data
13 KB / 2 files
Download size
29 KB
Installed size
not tracked yet
With dependencies
not tracked yet
Appears in task views

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("PCMRS")
Schauberger, G. (2025). PCMRS: Model Response Styles in Partial Credit Models (Version 0.1-5) [Computer software]. https://doi.org/10.32614/CRAN.package.PCMRS

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 PCMRS version 0.1-5 [Data set]. HJJB, LLC. Data release v2026-08-18. https://doi.org/10.5281/zenodo.21843040

From data release v2026-08-18, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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