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PCMRS

0.1-6Package record

Model Response Styles in Partial Credit Models

0packages depend
4.1Kdownloads / year
–test coverage
13/13flavors OK

Overview

About

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: 3.7 min · r-devel-windows-x86_64
Status changes
  • OK13 OK2026-09-09
  • WARNING12 OK, 1 WARNING2026-08-21
  • OK13 OK2026-08-05
  • NOTE12 OK, 1 NOTE2026-08-01
  • OK14 OK2026-04-22
Show 4 earlier changesHide 4 earlier changes
  • ERROR13 OK, 1 ERROR2026-04-18
  • OK14 OK2026-03-30
  • ERROR13 OK, 1 ERROR2026-03-28
  • OK14 OK2026-03-10
Advisories

none known

Documentation

In release 0.1-6
READMENoVignettesNoNEWSNoCitation fileNoWebsitenot declared in DESCRIPTION
Help pages
5includes a package overview page
Examples that run
0%5 never run
Exported functions with examples
100%
Documented parameters
100%
Return-value docs
100%
Help pages citing references
100%

Downloads

4.1K
CRAN downloads in the past year
Rank #8,063 · ~11/day · ~344/mo
Daily download trend is not available in this view yet.
48230 days
1.1K90 days
4.1K1 year
Compare downloads with other packages →
Also on379 r2u3 autocran153 c2d4u

Dependencies

Declared dependencies
7 external dependencies (excludes base and recommended)

Installing PCMRS adds 21 packages (15 with compiled code, 13 MB of source tarballs). Heaviest: cubature 3.2 MB, Rcpp 1.8 MB, RcppArmadillo 1.0 MB.

Depends (5)
Imports (1)
LinkingTo (2)
Suggests (0)
none
Enhances (0)
none
Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

Datasets

People & History

People (1)
Author, Maintainer since 0.0-1 (2017)
Releases (8)

Pick two releases to compare their code metrics.

  • R
    R 4.6.0 released · 2026-04-24
  • 0.1-6Latest
    record
    2025-07-22 · current release · diff ↗
  • 0.1-5
    record
    2025-07-22 · 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
    record
    2022-05-03 · diff ↗
  • R
    R 4.2.0 released · 2022-04-22
  • 0.1-3
    record
    2021-11-25 · diff ↗
  • R
    R 4.1.0 released · 2021-05-18
  • 0.1-2
    record
    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
    record
    2018-01-04 · diff ↗
  • 0.0-2
    record
    2017-11-15 · diff ↗
Show 2 earlier eventsHide 2 earlier events
  • 0.0-1
    record
    2017-11-07
  • R
    R 3.4.0 released · 2017-04-21

Package metadata

First published
2017-11-07
Total releases
8 / 9 yrs
License
GPL (>= 2) OSI
Bundled data
13 KB / 2 files
Download size
29 KB
Appears in task views

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("PCMRS")
Schauberger, G. (2026). PCMRS: Model Response Styles in Partial Credit Models (Version 0.1-6) [Computer software]. https://doi.org/10.32614/CRAN.package.PCMRS

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 PCMRS version 0.1-6 [Data set]. HJJB, LLC. Data release v2026-10-18. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-18, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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