Package: AIGENIE Type: Package Title: Automatic Item Generation and Validation via Network-Integrated Evaluation Version: 2.1.0 Date: 2026-03-10 Authors@R: c( person("Lara", "Russell-Lasalandra", email = "llr7cb@virginia.edu", role = "cre", comment = c(ORCID = "0009-0000-3014-1937")), person("Alexander", "Christensen", role = "aut", comment = c(ORCID = "0000-0002-9798-7037")), person("Hudson", "Golino", role = "aut", comment = c(ORCID = "0000-0002-1601-1447")) ) Description: Automated psychological scale development and structural validation using large language models (LLMs) and network psychometric methods. Implements the AI-GENIE framework (Automatic Item Generation and Validation via Network-Integrated Evaluation) to generate candidate items, compute embedding representations, and estimate dimensional structure using Exploratory Graph Analysis (EGA). Item quality is evaluated using Unique Variable Analysis to identify redundant items and Bootstrap EGA to assess item and dimension stability. Supports both fully automated item generation and analysis of user-provided item sets, facilitating efficient, theory-informed measurement development prior to empirical data collection. License: AGPL (>= 3) Encoding: UTF-8 Depends: R (>= 3.6.0), EGAnet (>= 2.4.0) Imports: reticulate, ggplot2, igraph, patchwork, jsonlite Suggests: testthat (>= 3.0.0), tictoc URL: https://github.com/laralee/AIGENIE BugReports: https://github.com/laralee/AIGENIE/issues Roxygen: list(markdown = TRUE) RoxygenNote: 7.3.3 Config/testthat/edition: 3 Config/pak/sysreqs: cmake libglpk-dev make libicu-dev libjpeg-dev libpng-dev libuv1-dev libxml2-dev libssl-dev python3 Repository: https://laralee.r-universe.dev Date/Publication: 2026-05-22 18:29:38 UTC RemoteUrl: https://github.com/laralee/AIGENIE RemoteRef: HEAD RemoteSha: e72bb46f2965d2dcfe6aa7a859b6b8c1c56257a7 NeedsCompilation: no Packaged: 2026-07-03 09:24:21 UTC; root Author: Lara Russell-Lasalandra [cre] (ORCID: ), Alexander Christensen [aut] (ORCID: ), Hudson Golino [aut] (ORCID: ) Maintainer: Lara Russell-Lasalandra