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subscore

3.3

Computing Subscores in Classical Test Theory and Item Response Theory

0packages depend
3.6Kdownloads / year
test coverage
13/13checks pass

Overview

About
Maintained by Shenghai DaiFirst published 2015-08-197 releasesCRAN page ↗

Functions for computing test subscores using different methods in both classical test theory (CTT) and item response theory (IRT). This package enables three types of subscoring methods within the framework of CTT and IRT, including (1) Wainer's augmentation method (Wainer et. al., 2001) doi:10.4324/9781410604729, (2) Haberman's subscoring methods (Haberman, 2008) doi:10.3102/1076998607302636, and (3) Yen's objective performance index (OPI; Yen, 1987) https://www.ets.org/research/policy_research_reports/publications/paper/1987/hrap. It also includes functions to compute Proportional Reduction of Mean Squared Errors (PRMSEs) in Haberman's methods which are used to examine whether test subscores are of added value. In addition, the package includes a function to assess the local independence assumption of IRT with Yen's Q3 statistic (Yen, 1984 doi:10.1177/014662168400800201; Yen, 1993 doi:10.1111/j.1745-3984.1993.tb00423.x).

Install

Health

CRAN checks
13OK
Slowest check: 2.6 min · r-devel-windows-x86_64
Code health
None
Tests · ratio 0.00
not tracked
Coverage
100%
Documentation · exports
7
Dependencies · direct
Check history
  • OK2026-08-04
    13 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
  • NOTE2026-08-01
    12 OK · 1 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
  • OK2026-03-30
    14 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
  • 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
100%
Documented parameters
100%
Return-value docs
100%
References docs
67%

Downloads

3.6K
CRAN downloads in the past year
Rank #12,621 · ~10/day · ~303/mo
Daily download trend is not available in this view yet.
17030 days
79990 days
3.6K1 year
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Dependencies

Declared dependencies
5 external dependencies (excludes base and recommended)
Depends (6)
R >= 3.4.0CTTstatsirtoyssirtltm
Imports (2)
cocorboot
LinkingTo (0)
none
Suggests (0)
none
Enhances (0)
none
Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

Code & Tests

Datasets

People & History

People (3)
Maintainer (1)
Author, Maintainer
Authors (3)
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
  • 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
  • 3.3Latest
    2022-05-24 · current release · diff ↗
  • unarchivedReturned to CRAN
    2022-05-24
  • archivedRemoved from CRAN
    2022-05-12
    requires archived package 'CDM'
  • 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
  • 3.1
    2019-04-13 · diff ↗
  • 3.0
    2019-03-03 · diff ↗
  • R
    R 3.5.0 released · 2018-04-23
  • R
    R 3.4.0 released · 2017-04-21
  • 2.0
    2016-12-03 · diff ↗
Show 5 earlier events
  • 1.3
    2016-08-17 · diff ↗
  • R
    R 3.3.0 released · 2016-05-03
  • 1.2
    2015-11-21 · diff ↗
  • 1.1
    2015-08-19
  • R
    R 3.2.0 released · 2015-04-16

Package metadata

First published
2015-08-19
Total releases
7 / 11 yrs
License
GPL (>= 2) OSI
Minimum R
≥ 3.4.0
Bundled data
12 KB / 3 files
Download size
28 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("subscore")
Dai, S., Svetina, D., & Wang, X. (2022). subscore: Computing Subscores in Classical Test Theory and Item Response Theory (Version 3.3) [Computer software]. https://doi.org/10.32614/CRAN.package.subscore

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 subscore version 3.3 [Data set]. HJJB, LLC. Data release v2026-08-15. https://doi.org/10.5281/zenodo.21843040

From data release v2026-08-15, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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