Package: ipd
Title: Inference on Predicted Data
Version: 0.1.4
Authors@R: c(
      person(given = "Stephen", family = "Salerno",
        email = "ssalerno@fredhutch.org", role = c("aut", "cre", "cph"),
        comment = c(ORCID = "0000-0003-2763-0494")),
      person(given = "Jiacheng", family = "Miao",
        email = "jmiao24@wisc.edu", role = c("aut")),
      person(given = "Awan", family = "Afiaz",
        email = "aafiaz@uw.edu", role = c("aut")),
      person(given = "Kentaro", family = "Hoffman",
        email = "khoffm3@uw.edu", role = c("aut")),
      person(given = "Anna", family = "Neufeld",
        email = "acn2@williams.edu", role = c("aut")),
      person(given = "Qiongshi", family = "Lu",
        email = "qlu@biostat.wisc.edu", role = c("aut")),
      person(given = "Tyler H", family = "McCormick",
        email = "tylermc@uw.edu", role = c("aut")),
      person(given = "Jeffrey T", family = "Leek",
        email = "jtleek@fredhutch.org", role = c("aut")))
Maintainer: Stephen Salerno <ssalerno@fredhutch.org>
Description: Performs valid statistical inference on predicted data (IPD) using recent methods, where for a subset of the data, the outcomes have been predicted by an algorithm. Provides a wrapper function with specified defaults for the type of model and method to be used for estimation and inference. Further provides methods for tidying and summarizing results. Salerno et al., (2024) <doi:10.48550/arXiv.2410.09665>.
License: MIT + file LICENSE
URL: https://github.com/ipd-tools/ipd, https://ipd-tools.github.io/ipd/
BugReports: https://github.com/ipd-tools/ipd/issues
Depends: R (>= 3.5.0)
Imports: caret, gam, generics, ranger, splines, stats, MASS,
        randomForest
Suggests: knitr, patchwork, rmarkdown, spelling, testthat (>= 3.0.0),
        tidyverse
VignetteBuilder: knitr
Config/testthat/edition: 3
Encoding: UTF-8
RoxygenNote: 7.3.2
Language: en-US
NeedsCompilation: no
Packaged: 2025-01-06 21:44:59 UTC; saler
Author: Stephen Salerno [aut, cre, cph]
    (<https://orcid.org/0000-0003-2763-0494>),
  Jiacheng Miao [aut],
  Awan Afiaz [aut],
  Kentaro Hoffman [aut],
  Anna Neufeld [aut],
  Qiongshi Lu [aut],
  Tyler H McCormick [aut],
  Jeffrey T Leek [aut]
Repository: CRAN
Date/Publication: 2025-01-07 16:10:02 UTC
Built: R 4.6.0; ; 2026-03-03 04:27:58 UTC; windows
