ipd: An R Package for Conducting Inference on Predicted Data
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arXiv
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| Main Authors: | , , , , , , , |
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| Format: | Preprint |
| Published: |
2024
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| _version_ | 1866916839361085440 |
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| author | Salerno, Stephen Miao, Jiacheng Afiaz, Awan Hoffman, Kentaro Neufeld, Anna Lu, Qiongshi McCormick, Tyler H. Leek, Jeffrey T. |
| author_facet | Salerno, Stephen Miao, Jiacheng Afiaz, Awan Hoffman, Kentaro Neufeld, Anna Lu, Qiongshi McCormick, Tyler H. Leek, Jeffrey T. |
| contents | Summary: ipd is an open-source R software package for the downstream modeling of an outcome and its associated features where a potentially sizable portion of the outcome data has been imputed by an artificial intelligence or machine learning (AI/ML) prediction algorithm. The package implements several recent proposed methods for inference on predicted data (IPD) with a single, user-friendly wrapper function, ipd. The package also provides custom print, summary, tidy, glance, and augment methods to facilitate easy model inspection. This document introduces the ipd software package and provides a demonstration of its basic usage. Availability: ipd is freely available on CRAN or as a developer version at our GitHub page: github.com/ipd-tools/ipd. Full documentation, including detailed instructions and a usage `vignette' are available at github.com/ipd-tools/ipd. Contact: jtleek@fredhutch.org and tylermc@uw.edu |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2410_09665 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | ipd: An R Package for Conducting Inference on Predicted Data Salerno, Stephen Miao, Jiacheng Afiaz, Awan Hoffman, Kentaro Neufeld, Anna Lu, Qiongshi McCormick, Tyler H. Leek, Jeffrey T. Methodology Computation Summary: ipd is an open-source R software package for the downstream modeling of an outcome and its associated features where a potentially sizable portion of the outcome data has been imputed by an artificial intelligence or machine learning (AI/ML) prediction algorithm. The package implements several recent proposed methods for inference on predicted data (IPD) with a single, user-friendly wrapper function, ipd. The package also provides custom print, summary, tidy, glance, and augment methods to facilitate easy model inspection. This document introduces the ipd software package and provides a demonstration of its basic usage. Availability: ipd is freely available on CRAN or as a developer version at our GitHub page: github.com/ipd-tools/ipd. Full documentation, including detailed instructions and a usage `vignette' are available at github.com/ipd-tools/ipd. Contact: jtleek@fredhutch.org and tylermc@uw.edu |
| title | ipd: An R Package for Conducting Inference on Predicted Data |
| topic | Methodology Computation |
| url | https://arxiv.org/abs/2410.09665 |