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ipd: Inference on Predicted Data

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>.

Version: 0.1.2
Depends: R (≥ 3.5.0)
Imports: caret, gam, generics, ranger, splines, stats, MASS, randomForest
Suggests: knitr, patchwork, rmarkdown, spelling, testthat (≥ 3.0.0), tidyverse
Published: 2024-10-24
DOI: 10.32614/CRAN.package.ipd
Author: Stephen Salerno ORCID iD [aut, cre, cph], Jiacheng Miao [aut], Awan Afiaz [aut], Kentaro Hoffman [aut], Anna Neufeld [aut], Qiongshi Lu [aut], Tyler H McCormick [aut], Jeffrey T Leek [aut]
Maintainer: Stephen Salerno <ssalerno at fredhutch.org>
BugReports: https://github.com/ipd-tools/ipd/issues
License: MIT + file LICENSE
URL: https://github.com/ipd-tools/ipd
NeedsCompilation: no
Language: en-US
Materials: README
CRAN checks: ipd results

Documentation:

Reference manual: ipd.pdf
Vignettes: Getting Started with the ipd Package (source, R code)

Downloads:

Package source: ipd_0.1.2.tar.gz
Windows binaries: r-devel: ipd_0.1.2.zip, r-release: ipd_0.1.2.zip, r-oldrel: ipd_0.1.2.zip
macOS binaries: r-release (arm64): ipd_0.1.2.tgz, r-oldrel (arm64): ipd_0.1.2.tgz, r-release (x86_64): ipd_0.1.2.tgz, r-oldrel (x86_64): ipd_0.1.2.tgz

Linking:

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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.