# ------------------------------------------------ # CITATION.cff file created with {cffr} R package # See also: https://docs.ropensci.org/cffr/ # ------------------------------------------------ cff-version: 1.2.0 message: 'To cite package "coldstart" in publications use:' type: software license: MIT title: 'coldstart: Calibrating Generated Items Before Pretesting with Predicted Priors' version: 0.1.0.9000 doi: 10.32614/CRAN.package.coldstart abstract: Predicts Rasch item difficulty from item features (text embeddings from any model, template family, content metadata) by ridge regression (Hoerl and Kennard, 1970, ) with honest out-of-sample uncertainty, uses the predictions as robust informative priors to calibrate new items from small pretest samples, in the spirit of using collateral information in calibration (Mislevy, Sheehan and Wingersky, 1993, ), plans the pretest sample size needed for a target precision, and diagnoses item families whose predictions cannot be trusted. authors: - family-names: Edi given-names: Daniel email: danieledi2026@gmail.com orcid: https://orcid.org/0000-0001-5475-819X repository: https://edidatasolutions.r-universe.dev repository-code: https://github.com/edidatasolutions/coldstart commit: f0237e3a908a8e4436a8406b47e97dd9fe454c41 url: https://edidatasolutions.github.io/coldstart/ date-released: '2026-10-10' contact: - family-names: Edi given-names: Daniel email: danieledi2026@gmail.com orcid: https://orcid.org/0000-0001-5475-819X