Package: coldstart
Title: Calibrating Generated Items Before Pretesting with Predicted
        Priors
Version: 0.1.0.9000
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
Repository: https://edidatasolutions.r-universe.dev
Date/Publication: 2026-10-10 14:29:31 UTC
RemoteUrl: https://github.com/edidatasolutions/coldstart
RemoteRef: HEAD
RemoteSha: f0237e3a908a8e4436a8406b47e97dd9fe454c41
NeedsCompilation: no
Packaged: 2026-10-15 11:44:02 UTC; root
Author: Daniel Edi [aut, cre, cph] (ORCID:
    <https://orcid.org/0000-0001-5475-819X>)
Maintainer: Daniel Edi <danieledi2026@gmail.com>