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AIGRA: Agentic Item Generation, Review, and Analysis

Provides tools for validating, generating, reviewing, reporting, and visualising assessment item generation workflows. The package supports tabular item-bank templates, item-bank validation, 'Python'-backed agentic generation workflows, multimodal diagram generation, quality summaries, and 'HTML' reporting. External artificial intelligence services and related 'API' calls require user-supplied credentials and are not called during package checks. The workflow is informed by automatic item generation methods described by Gierl and Haladyna (2013, ISBN:9780415897518) and evidence-centered assessment design described by Mislevy et al. (2003) <doi:10.1002/j.2333-8504.2003.tb01908.x>.

Version: 0.1.2
Imports: graphics, grid, reticulate, utils, grDevices
Suggests: base64enc, png, readxl, rmarkdown, writexl
Published: 2026-06-05
DOI: 10.32614/CRAN.package.AIGRA
Author: Moses O. Omopekunola [aut, cre]
Maintainer: Moses O. Omopekunola <omopekunola.m at hse.ru>
License: MIT + file LICENSE
NeedsCompilation: no
Citation: AIGRA citation info
Materials: README, NEWS
CRAN checks: AIGRA results

Documentation:

Reference manual: AIGRA.html , AIGRA.pdf

Downloads:

Package source: AIGRA_0.1.2.tar.gz
Windows binaries: r-devel: AIGRA_0.1.1.zip, r-release: AIGRA_0.1.1.zip, r-oldrel: AIGRA_0.1.1.zip
macOS binaries: r-release (arm64): AIGRA_0.1.2.tgz, r-oldrel (arm64): AIGRA_0.1.2.tgz, r-release (x86_64): AIGRA_0.1.2.tgz, r-oldrel (x86_64): AIGRA_0.1.2.tgz
Old sources: AIGRA archive

Linking:

Please use the canonical form https://CRAN.R-project.org/package=AIGRA to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.