Package: aihuman
Type: Package
Title: Experimental Evaluation of Algorithm-Assisted Human
        Decision-Making
Version: 1.0.1
Date: 2025-5-2
Authors@R: c(
    person("Sooahn", "Shin", , "sooahnshin@g.harvard.edu", role = c("aut", "cre"),
           comment = c(ORCID = "0000-0001-6213-2197")),
    person("Zhichao", "Jiang", email = "jiangzhch7@mail.sysu.edu.cn", role = c("aut")),
    person("Kosuke", "Imai", email = "imai@harvard.edu", role = c("aut")))
Description: Provides statistical methods for analyzing experimental
        evaluation of the causal impacts of algorithmic recommendations
        on human decisions developed by Imai, Jiang, Greiner, Halen,
        and Shin (2023) <doi:10.1093/jrsssa/qnad010> and Ben-Michael,
        Greiner, Huang, Imai, Jiang, and Shin (2024)
        <doi:10.48550/arXiv.2403.12108>. The data used for this paper,
        and made available here, are interim, based on only half of the
        observations in the study and (for those observations) only
        half of the study follow-up period. We use them only to
        illustrate methods, not to draw substantive conclusions.
License: GPL (>= 2)
URL: https://github.com/sooahnshin/aihuman
BugReports: https://github.com/sooahnshin/aihuman/issues
Encoding: UTF-8
RoxygenNote: 7.3.2
Imports: Rcpp, coda, stats, magrittr, purrr, abind, foreach, parallel,
        doParallel, ggplot2, dplyr, tidyr, metR, MASS, GLMMadaptive,
        gbm, tidyselect, stringr, forcats
LinkingTo: Rcpp, RcppArmadillo, RcppEigen
Depends: R (>= 4.1.0)
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
LazyData: true
NeedsCompilation: yes
Packaged: 2026-10-23 09:26:16 UTC; root
Author: Sooahn Shin [aut, cre] (ORCID:
        <https://orcid.org/0000-0001-6213-2197>), Zhichao Jiang [aut],
        Kosuke Imai [aut]
Maintainer: Sooahn Shin <sooahnshin@g.harvard.edu>
Repository: https://cran.r-universe.dev
Date/Publication: 2025-05-07 15:20:02 UTC
RemoteUrl: https://github.com/cran/aihuman
RemoteRef: HEAD
RemoteSha: ae2a389493b2f83d7cc0c0201e2f5b8f6e8eb2e8