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subscore

3.3Package record

Computing Subscores in Classical Test Theory and Item Response Theory

0packages depend
3.8Kdownloads / year
–test coverage
13/13flavors OK

Overview

About

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: 2.4 min · r-oldrel-windows-x86_64
Status changes
  • OK13 OK2026-08-04
  • NOTE12 OK, 1 NOTE2026-08-01
  • OK14 OK2026-03-30
  • ERROR13 OK, 1 ERROR2026-03-28
  • OK14 OK2026-03-10
Advisories

none known

Documentation

In release 3.3
READMENoVignettesNoNEWSNoCitation fileNoWebsitenot declared in DESCRIPTION
Help pages
12
Examples that run
100%12 run in a plain check
Exported functions with examples
100%
Documented parameters
100%
Return-value docs
100%
Help pages citing references
67%

Downloads

3.8K
CRAN downloads in the past year
Rank #10,313 · ~10/day · ~315/mo
Daily download trend is not available in this view yet.
47430 days
99390 days
3.8K1 year
Compare downloads with other packages →
Also on89 r2u4 autocran128 c2d4u

Dependencies

Declared dependencies
5 external dependencies (excludes base and recommended)

Installing subscore adds 28 packages (19 with compiled code, 18 MB of source tarballs). Heaviest: sirt 5.5 MB, Rcpp 1.8 MB, CDM 1.1 MB.

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.

Datasets

People & History

People (3)
Author, Maintainer since 1.1 (2015)
Releases (7)

Pick two releases to compare their code metrics.

  • 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
  • unarchivedReturned to CRAN
    2022-05-24
  • 3.3Latest
    record
    2022-05-24 · current release · diff ↗
  • 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
    record
    2019-04-13 · diff ↗ ·
    added 1 export
    Yen.Q3
  • 3.0
    record
    2019-03-03 · diff ↗ ·
    added 1 export
    subscore.corr
  • R
    R 3.5.0 released · 2018-04-23
  • R
    R 3.4.0 released · 2017-04-21
  • 2.0
    record
    2016-12-03 · diff ↗ ·
    removed 4 exports
    RegOnSub, RegOnTot, RegOnTotSub, Wainer.score
    added 5 exports
    Yen.OPI, subscore.Wainer, subscore.s, subscore.sx, subscore.x
Show 5 earlier eventsHide 5 earlier events
  • 1.3
    record
    2016-08-17 · diff ↗ ·
    removed 3 exports
    CTTsub.RegOnSub, CTTsub.RegOnTot, CTTsub.RegOnTotSub
    added 4 exports
    RegOnSub, RegOnTot, RegOnTotSub, Wainer.score
  • R
    R 3.3.0 released · 2016-05-03
  • 1.2
    record
    2015-11-21 · diff ↗
  • 1.1
    record
    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
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 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 subscore version 3.3 [Data set]. HJJB, LLC. Data release v2026-10-23. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-23, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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