cNORM
3.6.2Continuous Norming
Overview
Generates continuous test norms in psychometrics and biometrics, and analyzing model fit. The package offers both distribution-free modeling using Taylor polynomials and parametric modeling using the beta-binomial and the 'Sinh-Arcsinh' distribution. Originally developed for achievement tests, it is applicable to a wide range of mental, physical, or other test scores dependent on continuous or discrete explanatory variables. The package provides several advantages: It minimizes deviations from representativeness in subsamples, interpolates between discrete levels of explanatory variables, and significantly reduces the required sample size compared to conventional norming per age group. cNORM enables graphical and analytical evaluation of model fit, accommodates a wide range of scales including those with negative and descending values, and as well supports conventional norming. It generates norm tables including confidence intervals. Methods for addressing representativeness issues are available through Iterative Proportional Fitting. Based on Lenhard et al. (2016) doi:10.1177/1073191116656437, Lenhard et al. (2019) doi:10.1371/journal.pone.0222279, Lenhard and Lenhard (2021) doi:10.1177/0013164420928457 and Gary et al. (2023) doi:10.1007/s00181-023-02456-0.
Install
Health
- OK2026-08-0513 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
- NOTE2026-08-0112 OK · 1 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
- OK2026-06-0913 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
- ERROR2026-06-0812 OK · 0 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE
- OK2026-03-1014 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
Documentation
- Examples that run
- 4%
- Documented parameters
- 98%
- Return-value docs
- 91%
- References docs
- 15%
Downloads
Repository
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4 development-tooling and community-health practices detected across 4 families in the upstream repository
Checks run against github.com/wlenhard/cnorm on 2026-08-03.
Dependencies
Nothing depends on this yet.
Code & Tests
Datasets
People & History
33 releases. Pick two to compare their code metrics. R releases are shown for context.
- 3.6.2Latest
- 3.6.12026-07-13 · diff ↗
- 3.6.02026-06-17 · diff ↗
- 3.5.42026-05-15 · diff ↗
- 3.5.32026-05-01 · diff ↗
- RR 4.6.0 released · 2026-04-24
- 3.5.22026-02-26 · diff ↗
- 3.5.12025-10-14 · diff ↗
- 3.5.02025-09-27 · diff ↗
- 3.4.12025-05-11 · diff ↗
- RR 4.5.0 released · 2025-04-11
- 3.4.02024-11-04 · diff ↗
- 3.3.12024-10-16 · diff ↗
- 3.3.02024-08-27 · diff ↗
- 3.2.02024-08-18 · diff ↗
- 3.1.02024-07-19 · diff ↗
Show 26 earlier events
- RR 4.4.0 released · 2024-04-24
- 3.0.42023-10-08 · diff ↗
- 3.0.32023-05-22 · diff ↗
- RR 4.3.0 released · 2023-04-21
- 3.0.22022-06-12 · diff ↗
- RR 4.2.0 released · 2022-04-22
- 3.0.12022-04-11 · diff ↗
- 3.0.02022-03-28 · diff ↗
- 2.1.02021-08-12 · diff ↗
- 2.0.42021-07-24 · diff ↗
- RR 4.1.0 released · 2021-05-18
- 2.0.32021-04-10 · diff ↗
- 2.0.22021-01-31 · diff ↗
- 2.0.12021-01-06 · diff ↗
- 2.0.02020-12-04 · diff ↗
- 1.2.42020-11-16 · diff ↗
- 1.2.32020-06-18 · diff ↗
- RR 4.0.0 released · 2020-04-24
- 1.2.22019-09-19 · diff ↗
- 1.2.02019-07-26 · diff ↗
- RR 3.6.0 released · 2019-04-26
- 1.1.82019-03-15 · diff ↗
- 1.1.52019-02-06 · diff ↗
- 1.1.22018-12-08 · diff ↗
- 1.0.12018-11-14
- RR 3.5.0 released · 2018-04-23
Package metadata
- First published
- 2018-11-14
- Total releases
- 33 / 8 yrs
- License
- AGPL-3 OSI
- Minimum R
- ≥ 4.0.0
- Bundled data
- 364 KB / 3 files
- Download size
- 1.5 MB
- Installed size
- not tracked yet
- With dependencies
- not tracked yet
Cite
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Run in R for the authors' preferred citation:
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