Package: coldstart
Title: Calibrating Generated Items Before Pretesting with Predicted
        Priors
Version: 0.1.0
Authors@R: person("Daniel", "Edi", email = "danieledi2026@gmail.com", role = c("aut", "cre", "cph"),
    comment = c(ORCID = "0000-0001-5475-819X"))
Description: Predicts Rasch item difficulty from item features (text
    embeddings from any model, template family, content metadata) by ridge
    regression (Hoerl and Kennard, 1970, <doi:10.1080/00401706.1970.10488634>)
    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, <doi:10.1111/j.1745-3984.1993.tb00422.x>),
    plans the pretest sample size needed for a target precision, and
    diagnoses item families whose predictions cannot be trusted.
License: MIT + file LICENSE
URL: https://github.com/edidatasolutions/coldstart,
        https://edidatasolutions.github.io/coldstart/
BugReports: https://github.com/edidatasolutions/coldstart/issues
Encoding: UTF-8
Depends: R (>= 4.1)
Imports: stats
Suggests: knitr, markdown
VignetteBuilder: knitr
Config/roxygen2/version: 8.1.0
NeedsCompilation: no
Packaged: 2026-09-28 00:35:55 UTC; User
Author: Daniel Edi [aut, cre, cph] (ORCID:
    <https://orcid.org/0000-0001-5475-819X>)
Maintainer: Daniel Edi <danieledi2026@gmail.com>
Repository: CRAN
Date/Publication: 2026-10-07 09:50:35 UTC
Built: R 4.5.2; ; 2026-10-07 12:56:50 UTC; unix
