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easyRasch2

Psychometric Analysis with Rasch Measurement Theory

v0.8.0 · Jun 8, 2026 · GPL (>= 3)

Description

Streamlines reproducible Rasch measurement theory analyses for ordinal item-response data, combining estimation routines from 'eRm', 'psychotools', 'mirt', 'iarm', and 'lavaan' with consistent diagnostic, plotting, and reporting layers. Covers the four basic psychometric criteria summarised by Christensen et al. (2021) <doi:10.1111/sms.13908> -- unidimensionality, local independence, ordered response category thresholds, and invariance across subgroups -- together with item fit, targeting, reliability, category functioning, and descriptive item-response plots. A distinguishing feature is the use of simulation-based critical values to replace rule-of-thumb cutoffs for conditional infit mean-square, Yen's Q3 local-dependence statistic, the largest residual-PCA eigenvalue, and ordinal CFA fit indices. Outputs are knitr::kable() tables and 'ggplot2' figures suitable for direct inclusion in 'Quarto' and 'R Markdown' reports.

CRAN Check Status

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dependencies in R code

2026-06-09 10:02:21.310 R[81691:592482] XType: Using static font registry.

Check History

NOTE 6 OK · 1 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE Jun 9, 2026
NOTE r-oldrel-macos-arm64

dependencies in R code

2026-06-09 10:02:21.310 R[81691:592482] XType: Using static font registry.

Dependency Network

Dependencies Reverse dependencies eRm knitr mirt psychotools rlang easyRasch2

Version History

new 0.8.0 Jun 8, 2026