R Observatory: Metrics for measureR version 0.0.7

Balamuta, James Joseph

doi:10.5281/zenodo.21843040

measureR

0.0.7Package record

Tools for Educational and Psychological Measurement

0packages depend

2.7Kdownloads / year

0.0%test coverage

11/13flavors OK

Overview

About

Maintained by Hasan DjiduCRAN page ↗GitHub ↗Issues ↗

'Provides an interactive toolkit for educational and psychological measurement implemented using the 'shiny' framework. The package supports content validity analysis, dimensionality assessment, and Classical Test Theory using the 'CTT' package (Willse, 2018) doi:10.32614/CRAN.package.CTT. Item Response Theory (IRT) analyses are conducted via 'mirt' (Chalmers, 2012) doi:10.18637/jss.v048.i06. Exploratory Factor Analysis is performed using 'psych' (Revelle, 2025), while Confirmatory Factor Analysis (CFA) and Structural Equation Modeling (SEM) are based on the 'lavaan' framework (Rosseel, 2012) doi:10.18637/jss.v048.i02. The CFA/SEM module features interactive model specification, ordinal indicators estimated from polychoric correlations, automatic model comparison, modification indices, comprehensive fit diagnostics, path diagram visualization, and HTML report generation. The application allows users to upload data, evaluate statistical models, visualize results, and export outputs through an intuitive graphical interface without requiring programming experience.

Changes in 0.0.7

Focus: the new **HTML interface** shared with projectLSA 0.2.0.

Fully redesigned interface: collapsible icon sidebar, top view tabs (grouped where there are many), compact Excel-like tables, a decimal-separator switch and a colour / black-and-white switch at the top right.
Every table has **Export Excel** and **Copy for Word** (APA style, highlights kept); every plot can be copied as an image.
Black-and-white mode uses line types and hatching; plots use rounded bars.
**Word reports (.docx)** for all five modules (content validity, CTT, EFA, CFA/SEM, IRT): objectives, method, results, APA 7 tables, figures and references built from what was cited.
Report form with optional AI drafting; AI model settings and a floating assistant with a guide for each view.
R console as a drawer at the top right; a single progress indicator replaces the pop-ups.
IRT module regrouped, with item- and theta-invariance tests, local dependence and further views.
Version and date badge on the home page.

From NEWS.md in the release

Install

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

install.packages("measureR", 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("hdmeasure/measureR")

Development version from hdmeasure/measureR. 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-measurer

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-measureR

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-measureR

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

2NOTE11OK

Check messages

NOTEdependencies in R coder-devel-linux-x86_64-fedora-clang, r-devel-linux-x86_64-fedora-gcc

Namespaces in Imports field not imported from:
  ‘CTT’ ‘DT’ ‘colourpicker’ ‘curl’ ‘data.table’ ‘dplyr’ ‘flextable’
  ‘ggplot2’ ‘haven’ ‘htmltools’ ‘httr’ ‘irr’ ‘jsonlite’ ‘kableExtra’
  ‘knitr’ ‘lavaan’ ‘magick’ ‘mirt’ ‘officer’ ‘pdftools’ ‘plotly’
  ‘psych’ ‘purrr’ ‘readr’ ‘readxl’ ‘rlang’ ‘rmarkdown’ ‘scales’
  ‘semPlot’ ‘semptools’ ‘shinyBS’ ‘shinyWidgets’ ‘shinycssloaders’
  ‘stats’ ‘stringr’ ‘tibble’ ‘tidyr’ ‘tidyverse’ ‘viridisLite’
  ‘writexl’
All declared Imports should be used.

CRAN check page ↗

Slowest check: 1.8 min · r-release-macos-x86_64

Status changes

NOTE11 OK, 2 NOTE2026-06-09
ERROR10 OK, 2 NOTE, 1 ERROR2026-06-08
NOTE10 OK, 2 NOTE2026-04-25
ERROR11 OK, 2 NOTE, 1 ERROR2026-03-10

Advisories

none known

How this is measured·How advisories are found

Documentation

In release 0.0.7

READMEYes · 396 wordsVignettesYes · 1 · staticNEWSYes · 100% structured · mentions 0.0.7Citation fileNoWebsitenot declared in DESCRIPTION

Description cites a JSS article

Help pages: 2includes a package overview page
Examples that run: 100%1 run in a plain check
Exported functions with examples: 100%
Documented parameters: not tracked
Return-value docs: 100%
Help pages citing references: 0%

Vignettes (1)

Introduction to measureR

How these are measured

Downloads

2.7K

CRAN downloads in the past year

Rank #12,028 · ~7/day · ~223/mo

Releases R versions

Daily download trend is not available in this view yet.

34730 days

91990 days

2.7K1 year

Compare downloads with other packages →

Also on55 r2u1 autocran

How downloads are counted

Repository

hdmeasure/measurer ↗Account: hdmeasure

1Stars

0Forks

0Open issues

0Open PRs

0Releases

120Commits

1Commit identities

120 commits · Last activity 2026-10-23 · 0% stars, 30d

Responsiveness

not measured

Stars over time

2026-06-15 · 12026-07-07 · 1

How these are measured

PracticesBeta

6 development-tooling and community-health practices detected across 3 families in the upstream repository

Checks run against github.com/hdmeasure/measurer on 2026-10-22.

Continuous integration (2)

GitHub ActionsR CMD check workflow

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

Docs source (2)

README.Rmdpkgdown

CRAN release process (2)

cran-comments.mdCRAN-SUBMISSION

How this is detected·Detection ruleset v4 (2026-10-20)

Dependencies

Declared dependencies

42 external dependencies (excludes base and recommended)

Installing measureR adds 196 packages (94 with compiled code, 135 MB of source tarballs). Heaviest: stringi 11 MB, ggplot2 6.0 MB, data.table 5.7 MB.

Depends (1)

R >= 4.0.0

LinkingTo (0)

none

Suggests (2)

pkgdown testthat

Enhances (0)

none

Dependency license breakdown →

Reverse dependencies

0direct

0indirect

Nothing depends on this yet.

How these are counted

Code & Tests

People & History

People (2)

Hasan Djidu

Author, Maintainer since 0.0.1 (2026)

Heri Retnawati

Contributor · added in 0.0.3

Releases (5)

Pick two releases to compare their code metrics.

0.0.7Latest
record
2026-10-08 · current release · diff ↗
0.0.5
record
2026-10-08 · diff ↗
0.0.3
record
2026-05-15 · diff ↗
R
R 4.6.0 released · 2026-04-24
0.0.2
record
2026-02-13 · diff ↗
0.0.1
record
2026-02-10
R
R 4.5.0 released · 2025-04-11

Package metadata

First published: 2026-02-10
Total releases: 5 / 1 yrs
License: MIT + file LICENSE OSI
Minimum R: ≥ 4.0.0
Download size: 543 KB

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("measureR")

Format

Djidu, H., & Retnawati, H. (2026). measureR: Tools for Educational and Psychological Measurement (Version 0.0.7) [Computer software]. https://doi.org/10.32614/CRAN.package.measureR

This package has no citation file, so citation() returns this entry built from DESCRIPTION.

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 measureR version 0.0.7 [Data set]. HJJB, LLC. Data release v2026-10-24. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-24, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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