Package: mixedsubjectsirt
Title: Item Response Theory Calibration with a Mixed Subjects Design
Version: 1.0.0
Authors@R: 
    person("Klint", "Kanopka", , "klint.kanopka@nyu.edu", role = c("aut", "cre"),
           comment = c(ORCID = "0000-0003-3196-9538"))
Description: Integrates large language model generated item responses
        into psychometric calibration studies through a mixed-subjects
        design for unidimensional two-parameter and one-parameter
        logistic item response theory models. Human pilot responses are
        augmented with model-generated responses using a
        prediction-powered inference estimator (Angelopoulos, Bates,
        Fannjiang, Jordan and Zrnic (2023)
        <doi:10.1126/science.adi6000>; Angelopoulos, Duchi and Zrnic
        (2023) <doi:10.48550/arXiv.2311.01453>) adapted to marginal
        maximum-likelihood estimation, following the mixed-subjects
        design of Broska, Howes and van Loon (2025)
        <doi:10.1177/00491241251326865>. The estimator is anchored to
        the human responses and is asymptotically unbiased for the
        human item parameters at any tuning weight; the weight on the
        synthetic responses is chosen to minimize propagated
        ability-score risk, down-weighting uninformative or biased
        generated responses. Louis-corrected sandwich standard errors,
        ability scoring, cross-fitted tuning, and scale linking are
        also provided.
License: MIT + file LICENSE
Encoding: UTF-8
Language: en-US
RoxygenNote: 7.3.3
Imports: mirt, rmutil
Suggests: ggplot2, knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
Config/testthat/edition: 3
URL: https://klintkanopka.com/mixedsubjectsirt/,
        https://github.com/klintkanopka/mixedsubjectsirt
BugReports: https://github.com/klintkanopka/mixedsubjectsirt/issues
NeedsCompilation: no
Packaged: 2026-06-25 20:00:39 UTC; root
Author: Klint Kanopka [aut, cre] (ORCID:
        <https://orcid.org/0000-0003-3196-9538>)
Maintainer: Klint Kanopka <klint.kanopka@nyu.edu>
Repository: https://cran.r-universe.dev
Date/Publication: 2026-06-25 15:50:09 UTC
RemoteUrl: https://github.com/cran/mixedsubjectsirt
RemoteRef: HEAD
RemoteSha: 2e77546e86fd98746edc454a11c8d8112e7b2aa4