Continuous Norming
Overview
A toolbox for continuous norming of psychological and educational tests, supporting regression-based norming where norms can vary as a continuous function of age or another norm predictor. Norms are estimated using Generalized Additive Models for Location, Scale, and Shape (GAMLSS), enabling flexible modelling of the full score distribution in a normative sample. The package supports applications in psychometrics and psychological testing, and includes functions for model selection, reliability estimation, norm calculation, including confidence intervals, and sample size planning. For more details, see Timmerman et al. (2021) doi:10.1037/met0000348.
- Patched
normtable_create()to include age grid incdf_matrix. - Patched spline handling in
fb_select(). - Change default continuity correction to
TRUEfor discrete families innormtable_create(). - Patched newdata handling with continuity correction in
normtable_create(). - Speed up
fb_selectwith a cache, and remove parallel processing option. fb_selectnow returns model selection history.- Documented model selection history feature in the vignette.
- Add
weightsoption tocomposite_shape.
From NEWS.md in the release
Install
Health
- OK13 OK2026-08-05
- NOTE12 OK, 1 NOTE2026-08-01
- OK13 OK2026-07-03
- ERROR11 OK, 1 ERROR2026-04-25
- OK14 OK2026-03-10
Documentation
- Help pages
- 15
- Examples that run
- 18%2 run in a plain check · 7 only when donttest examples are enabled (R CMD check --as-cran) · 2 never run
- Exported functions with examples
- 100%
- Documented parameters
- 99%
- Return-value docs
- 100%
- Help pages citing references
- 53% with a bibliography file
Downloads
Dependencies
Code & Tests
Datasets
People & History
Package metadata
- First published
- 2025-10-06
- Total releases
- 3 / 1 yrs
- License
- GPL (>= 3) OSI
- Minimum R
- ≥ 3.5.0
- Bundled data
- 45 KB / 4 files
- Download size
- 576 KB
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