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# CITATION.cff file created with {cffr} R package
# See also: https://docs.ropensci.org/cffr/
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cff-version: 1.2.0
message: 'To cite package "AIGRA" in publications use:'
type: software
license: MIT
title: 'AIGRA: Agentic Item Generation, Review, and Analysis'
version: 0.2.0
identifiers:
- type: doi
  value: 10.32614/CRAN.package.AIGRA
abstract: 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) <https://doi.org/10.1002/j.2333-8504.2003.tb01908.x>.
authors:
- family-names: Omopekunola
  given-names: Moses O.
  email: omopekunola.m@hse.ru
preferred-citation:
  type: manual
  title: 'AIGRA: Agentic Item Generation, Review, and Analysis'
  authors:
  - family-names: Omopekunola
    given-names: Moses Oluoke
  - family-names: Baizhanov
    given-names: Nurseit
  - family-names: Kardanova
    given-names: Elena Yu.
  year: '2026'
  notes: R package version 0.2.0
  url: https://github.com/MOO-DIO/AIGRA
repository: https://moo-dio.r-universe.dev
commit: c367a594aaeb62b2762b6fc5fcf51c29dd88d4ec
date-released: '2026-07-21'
contact:
- family-names: Omopekunola
  given-names: Moses O.
  email: omopekunola.m@hse.ru
references:
- type: unpublished
  title: 'AIGRA: Agentic Item Generation, Review, and Analysis for Educational Assessment'
  authors:
  - family-names: Omopekunola
    given-names: Moses Oluoke
  - family-names: Baizhanov
    given-names: Nurseit
  - family-names: Kardanova
    given-names: Elena Yu.
  year: '2026'
  notes: Available at SSRN
  url: https://ssrn.com/abstract=6960175
  doi: 10.2139/ssrn.6960175