ipd
0.4.1Inference on Predicted Data
Overview
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., (2025) doi:10.1093/bioinformatics/btaf055.
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- OK2026-06-0913 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
- ERROR2026-06-0812 OK · 0 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE
- OK2026-05-0213 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
- ERROR2026-04-2511 OK · 0 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE
- OK2026-03-1814 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
Show 1 earlier snapshots
- NOTE2026-03-1011 OK · 3 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
Documentation
- Examples that run
- 100%
- Documented parameters
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- Return-value docs
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- References docs
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Checks run against github.com/ipd-tools/ipd on 2026-07-30.
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Package metadata
- First published
- 2024-10-24
- Total releases
- 5 / 2 yrs
- License
- MIT + file LICENSE OSI
- Minimum R
- ≥ 4.4.0
- Download size
- 1.3 MB
- Installed size
- not tracked yet
- With dependencies
- not tracked yet