R Observatory: Metrics for cNORM version 3.7.0

Balamuta, James Joseph

doi:10.5281/zenodo.21843040

cNORM

3.7.0Package record

Continuous Norming

0packages depend

9.2Kdownloads / year

39.1%test coverage

13/13flavors OK

Overview

About

Maintained by Wolfgang LenhardCRAN page ↗GitHub ↗Website ↗Issues ↗Declared funder: WPS Publisher

Generates continuous test norms in psychometrics and biometrics, and analyzes model fit. The package offers distribution-free modeling using Taylor polynomials, as well as parametric modeling using the beta-binomial distribution (for bounded accuracy tests), the Conway-Maxwell-Poisson distribution (for speeded tests and count data with over-, equi-, or under-dispersion), and the 'Sinh-Arcsinh' (SHASH) distribution. Originally developed for psychological and educational assessment, it is applicable to a wide range of mental, physical, or other test scores dependent on continuous or discrete explanatory variables. The package 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 supports conventional norming. It generates norm tables including confidence intervals and provides methods for addressing representativeness issues 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.

Changes in 3.7.0

Date: 03.10.2026 - release

New distributional family for modelling speeded tests and count data with the

Conway-Maxwell Poisson Counts Model (CMPCM), which allows for adjusting

dispersion.

New features

Modelling speeded tests with the Conway-Maxwell Poisson Counts Model (CMPCM)
Vignette for CMP modelling
New dataset 'speed' with word reading fluency per age (synthetic data based on ELFE2)
Extended test coverage for CMP

Changes

Checks on number of groups in Taylor modelling added. Now actively advises on 't' parameter reduction.

Show all changes in 3.7.0Hide the rest of the changes in 3.7.0

Added section on model selection strategies to vignettes

From NEWS.md in the release

Install

R (CRAN)pak (dev)Ubuntu (r2u)Fedora (COPR)openSUSE (OBS)

install.packages("cNORM", repos = "https://cloud.r-project.org/")

Installs the current CRAN release. Prebuilt binaries on Windows and macOS.

if (!requireNamespace("pak", quietly = TRUE))
  install.packages("pak", repos = "https://cloud.r-project.org/")
pak::pak("WLenhard/cNORM")

Development version from WLenhard/cNORM. Installs pak first if it is not already available.

Release

# enable cranapt (r2u) if it is not already set up, then install
grep -rqs r2u.stat.illinois.edu /etc/apt/sources.list /etc/apt/sources.list.d/ \
  || curl -fsSL https://raw.githubusercontent.com/eddelbuettel/r2u/master/inst/scripts/add_cranapt_noble.sh | sudo bash
sudo apt install -y r-cran-cnorm

Fast Ubuntu binaries via r2u (no compilation). The cranapt setup runs once and is skipped when it is already enabled. We list this channel from recorded r2u download activity rather than from a live index of the repository, so treat it as last known rather than guaranteed.

bspm (used by r2u) also needs make: sudo apt install make

# enable the iucar/cran COPR if it is not already present, then install
ls /etc/yum.repos.d/*iucar*cran*.repo >/dev/null 2>&1 \
  || sudo dnf copr enable -y iucar/cran
sudo dnf install -y R-CRAN-cNORM

RPMs from the iucar/cran COPR, rebuilt from CRAN.

For install.packages() integration in R, also: sudo dnf install R-CoprManager

# add the autoCRAN OBS repo (Tumbleweed) if it is missing, then install
zypper -q lr | grep -qi autoCRAN \
  || sudo zypper addrepo https://download.opensuse.org/repositories/devel:/languages:/R:/autoCRAN/openSUSE_Tumbleweed/devel:languages:R:autoCRAN.repo
sudo zypper install -y R-cNORM

RPMs auto-built from CRAN on openSUSE OBS (Tumbleweed). We list this channel from recorded autoCRAN download activity rather than from a live index of the repository, so treat it as last known rather than guaranteed.

Health

CRAN checks

13OK

CRAN check page ↗

Slowest check: 4.6 min · r-oldrel-windows-x86_64

Status changes

OK13 OK2026-08-05
NOTE12 OK, 1 NOTE2026-08-01
OK13 OK2026-06-09
ERROR12 OK, 1 ERROR2026-06-08
OK14 OK2026-03-10

Advisories

none known

How this is measured·How advisories are found

Documentation

In release 3.7.0

READMEYes · 819 wordsVignettesYes · 5 · dynamicNEWSYes · 100% structured · mentions 3.7.0Citation fileYes · cites a publicationWebsiteYes

Help pages: 109 (23 internal)
Examples that run: 6%3 run in a plain check · 47 never run
Exported functions with examples: 63%
Documented parameters: 96%
Return-value docs: 88%
Help pages citing references: 17%

Vignettes (5)

How these are measured

Downloads

9.2K

CRAN downloads in the past year

Rank #3,904 · ~25/day · ~763/mo

Releases R versions

Daily download trend is not available in this view yet.

1.2K30 days

2.4K90 days

9.2K1 year

Compare downloads with other packages →

Also on215 r2u15 autocran3.9K conda_forge166 c2d4u

How downloads are counted

Repository

wlenhard/cnorm ↗Account: WLenhard

2Stars

2Forks

0Open issues

0Open PRs

31Releases

927Commits

4Commit identities

percentilepsychometricsbiometricsnorm-scoresnormalization-techniquescontinuous-normingregression-based-normingnorm-tables

License file reads as AGPL-3.0 · 927 commits · Last activity 2026-10-19

Responsiveness

How these are sampled

PRs merged (all time): 100%
Median days to close, 50 most recently updated closed issues: 2
Median days to close, 50 most recently updated closed PRs: 0

Stars over time

2023-10-22 · 22026-07-07 · 2

How these are measured

PracticesBeta

9 development-tooling and community-health practices detected across 5 families in the upstream repository

Checks run against github.com/wlenhard/cnorm on 2026-10-18.

Continuous integration (2)

GitHub ActionsR CMD check workflow

The R CMD check workflow runs on Linux, macOS and Windows, and on R-devel

Governance and community (3)

Code of conductContributing guideIssue templates

Docs source (1)

GitHub Pages site last deployed 2026-10-07

CRAN release process (2)

cran-comments.mdCRAN-SUBMISSION

Show all practicesHide 1 practice

Lint, format, editor (1)

RStudio project

How this is detected·Detection ruleset v3 (2026-09-26)

Dependencies

Declared dependencies

12 external dependencies (excludes base and recommended)

Installing cNORM adds 18 packages (8 with compiled code, 14 MB of source tarballs). Heaviest: ggplot2 6.0 MB, isoband 1.5 MB, farver 1.2 MB.

Depends (1)

R >= 4.0.0

Imports (6)

ggplot2 leapsgrDevicesparallelstatsutils

LinkingTo (0)

none

Suggests (11)

DT havenforeignknitr markdown numDeriv readxl rmarkdown shiny shinycssloaders testthat

Enhances (0)

none

Dependency license breakdown →

Reverse dependencies

0direct

0indirect

Nothing depends on this yet.

How these are counted

Code & Tests

Datasets

People & History

People (4)

Wolfgang Lenhard

Maintainer since 1.0.1 (2018), Author

Sebastian Gary

Author

Alexandra Lenhard

Author

WPS Publisher

Funder · added in 3.5.1

https://www.wpspublish.com/

Releases (34)

Pick two releases to compare their code metrics.

3.7.0Latest
record
2026-10-03 · current release · diff ↗ ·
added 8 exports
autoselect.cmp, cnorm.cmp, dcmp, diagnostics.cmp, normTable.cmp, qcmp, rcmp, pcmp
3.6.2
record
2026-07-20 · diff ↗ ·
added 1 export
predictMoments
3.6.1
record
2026-07-13 · diff ↗ ·
added 1 export
weightedAverageModel
3.6.0
record
2026-05-15 · diff ↗ ·
added 2 exports
autoselect.betabinomial, autoselect.shash
3.5.4
record
2026-05-15 · diff ↗
R
R 4.6.0 released · 2026-04-24
3.5.3
record
2026-02-26 · diff ↗
3.5.2
record
2026-02-26 · diff ↗ ·
added 1 export
cNORM.GUI2
3.5.1
record
2025-10-14 · diff ↗ ·
removed 6 exports
plot.cnormBetaBinomial, plot.cnormShaSh, predict.cnormBetaBinomial, predict.cnormShaSh, summary.cnormBetaBinomial, summary.cnormShaSh

added 4 exports
dshash, pshash, qshash, rshash
3.5.0
record
2025-09-27 · diff ↗ ·
added 6 exports
cnorm.shash, diagnostics.shash, normTable.shash, plot.cnormShaSh, predict.cnormShaSh, summary.cnormShaSh
3.4.1
record
2025-05-11 · diff ↗
R
R 4.5.0 released · 2025-04-11
3.4.0
record
2024-11-04 · diff ↗ ·
added 1 export
compare
3.3.1
record
2024-10-16 · diff ↗
3.3.0
record
2024-08-27 · diff ↗ ·
added 1 export
taylorSwift
3.2.0
record
2024-08-18 · diff ↗ ·
removed 5 exports
betaTable, betaByGroup, betaContinuous, betaNormTable, predictBeta

added 8 exports
buildCnormObject, cnorm.betabinomial, diagnostics.betabinomial, normTable.betabinomial, plot.cnormBetaBinomial, predict.cnormBetaBinomial, standardize, summary.cnormBetaBinomial

Show 27 earlier eventsHide 27 earlier events

3.1.0
record
2024-07-19 · diff ↗ ·
added 6 exports
betaCoefficients, betaTable, betaByGroup, betaContinuous, betaNormTable, predictBeta
R
R 4.4.0 released · 2024-04-24
3.0.4
record
2023-10-08 · diff ↗
3.0.3
record
2023-05-22 · diff ↗
R
R 4.3.0 released · 2023-04-21
3.0.2
record
2022-06-12 · diff ↗
R
R 4.2.0 released · 2022-04-22
3.0.1
record
2022-04-11 · diff ↗
3.0.0
record
2022-03-28 · diff ↗ ·
added 4 exports
weighted.quantile.inflation, weighted.quantile.harrell.davis, weighted.quantile.type7, computeWeights
2.1.0
record
2021-08-12 · diff ↗
2.0.4
record
2021-07-24 · diff ↗
R
R 4.1.0 released · 2021-05-18
2.0.3
record
2021-04-10 · diff ↗
2.0.2
record
2021-01-31 · diff ↗ ·
added 1 export
getGroups
2.0.1
record
2021-01-06 · diff ↗ ·
added 2 exports
weighted.rank, weighted.quantile
2.0.0
record
2020-12-04 · diff ↗ ·
removed 4 exports
boxcox, plotBoxCox, predictNormBC, predictRawBC

added 4 exports
cnorm, plotCnorm, modelSummary, getNormScoreSE
1.2.4
record
2020-11-16 · diff ↗
1.2.3
record
2020-06-18 · diff ↗
R
R 4.0.0 released · 2020-04-24
1.2.2
record
2019-09-19 · diff ↗
1.2.0
record
2019-07-26 · diff ↗
R
R 3.6.0 released · 2019-04-26
1.1.8
record
2019-03-15 · diff ↗
1.1.5
record
2019-02-06 · diff ↗
1.1.2
record
2018-12-08 · diff ↗ ·
added 1 export
cnorm.cv
1.0.1
record
2018-11-14
R
R 3.5.0 released · 2018-04-23

Package metadata

First published: 2018-11-14
Total releases: 34 / 8 yrs
License: AGPL-3 OSI
Minimum R: ≥ 4.0.0
Bundled data: 350 KB / 4 files
Download size: 1.6 MB

Appears in task views

Psychometric Models and Methods

Cite

Cite this package

Run in R for the authors' entry:

citation("cNORM")

The package provides a citation file, so citation() returns the authors' own entry.

It points to 10.1177/1073191116656437, 10.1371/journal.pone.0222279, 10.1177/0013164420928457, 10.1177/10731911231153832, 10.3758/s13428-023-02207-0.

Cite the R Observatory

For a number measured here: a download total, a coverage figure, an archival date.

Format

APA

Balamuta, J. J. (2026). R Observatory: Metrics for cNORM version 3.7.0 [Data set]. HJJB, LLC. Data release v2026-10-22. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-22, which the citation names so these numbers can be found later. More on citing and the projects behind them.

Report a problem with this page →