Item Analysis in Rasch Models
Overview
Tools to assess model fit and identify misfitting items for Rasch models (RM) and partial credit models (PCM). Included are item fit statistics, item characteristic curves, item-restscore association, conditional likelihood ratio tests, assessment of measurement error, estimates of the reliability and test targeting as described in Christensen et al. (Eds.) (2013, ISBN:978-1-84821-222-0).
- Improved MLE and WLE estimation in person_estimate for situations with unequal numbers of item response categories.
- fixed a bug in several functions dealing with unequal numbers of item response categories.
From NEWS.md in the release
Install
Health
- OK13 OK2026-08-05
- NOTE12 OK, 1 NOTE2026-08-01
- OK13 OK2026-06-09
- ERROR12 OK, 1 ERROR2026-06-08
- OK14 OK2026-03-10
Documentation
- Help pages
- 18includes a package overview page
- Examples that run
- 83%10 run in a plain check · 2 never run
- Exported functions with examples
- 77%
- Documented parameters
- 94%
- Return-value docs
- 92%
- Help pages citing references
- 61%
Downloads
Dependencies
Installing iarm adds 97 packages (48 with compiled code, 87 MB of source tarballs). Heaviest: stringi 11 MB, ggplot2 6.0 MB, data.table 5.7 MB.
Code & Tests
Datasets
People & History
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- RR 4.6.0 released · 2026-04-24
- RR 4.5.0 released · 2025-04-11
- RR 4.4.0 released · 2024-04-24
- RR 4.3.0 released · 2023-04-21
- 0.4.3Latest
- RR 4.2.0 released · 2022-04-22
- RR 4.1.0 released · 2021-05-18
- 0.4.22020-09-12 · diff ↗
- RR 4.0.0 released · 2020-04-24
- 0.4.1
- 0.3.02019-12-04 · diff ↗
- 0.2.0
- RR 3.6.0 released · 2019-04-26
- 0.1.22019-03-06
- RR 3.5.0 released · 2018-04-23
Package metadata
- First published
- 2019-03-06
- Total releases
- 6 / 7 yrs
- License
- GPL-2 OSI
- Minimum R
- ≥ 3.5.0
- Bundled data
- 9.3 KB / 2 files
- Download size
- 37 KB
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