Package: mixedsubjects
Title: Causal Inference in Experiments with Mixed-Subjects Designs
Version: 1.0.0
Authors@R: c(
    person("Austin", "van Loon", email = "avanloon@mit.edu", role = c("aut")),
    person("Klint", "Kanopka", email = "klint.kanopka@nyu.edu", role = c("aut", "cre")),
    person("Yuan", "Huang", email = "yh2741@nyu.edu", role = "ctb")
  )
Description: Implements seven estimators for average treatment effect
        (ATE) estimation in mixed-subjects designs (MSDs), where human
        subjects data is augmented with predictions from large language
        models (LLMs)., Includes Difference-in-Means, GREG, Prediction
        Powered Inference (PPI), Power Tuned PPI (PPI++), Doubly-Tuned
        PPI (D-T PPI++), Difference-in-Predictions (DiP), DiP++, and
        D-T DiP estimators. Provides point estimates, variance
        estimation via delta-method or bootstrap, and optimal design
        selection for budget allocation between human observations and
        LLM predictions.
License: MIT + file LICENSE
Encoding: UTF-8
Roxygen: list(markdown = TRUE)
RoxygenNote: 7.3.3
Imports: stats
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
Config/testthat/edition: 3
URL: https://klintkanopka.com/mixedsubjects/
BugReports: https://github.com/klintkanopka/mixedsubjects/issues
Repository: https://klintkanopka.r-universe.dev
Date/Publication: 2026-07-03 15:57:33 UTC
RemoteUrl: https://github.com/klintkanopka/mixedsubjects
RemoteRef: HEAD
RemoteSha: 97d8391df42c7f26350d15e747862ce58cd6b46e
NeedsCompilation: no
Packaged: 2026-07-03 17:23:36 UTC; root
Author: Austin van Loon [aut],
  Klint Kanopka [aut, cre],
  Yuan Huang [ctb]
Maintainer: Klint Kanopka <klint.kanopka@nyu.edu>