ipd: an R package for conducting inference on predicted data.

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Tác giả: Awan Afiaz, Kentaro Hoffman, Jeffrey T Leek, Qiongshi Lu, Tyler H McCormick, Jiacheng Miao, Anna Neufeld, Stephen Salerno

Ngôn ngữ: eng

Ký hiệu phân loại:

Thông tin xuất bản: England : Bioinformatics (Oxford, England) , 2025

Mô tả vật lý:

Bộ sưu tập: NCBI

ID: 218211

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 prediction algorithm. The package implements several recent proposed methods for inference on predicted data 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.
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