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ipd

0.4.1

Inference on Predicted Data

0packages depend
3.6Kdownloads / year
1.9%test coverage
13/13checks pass

Overview

About
Maintained by Stephen SalernoFirst published 2024-10-245 releasesCRAN page ↗GitHub ↗

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.

Install

Health

CRAN checks
13OK
Slowest check: 5.1 min · r-oldrel-windows-x86_64
Code health
Yes
Tests · ratio 0.00
1.9%
Coverage · measured lines
100%
Documentation · exports
10
Dependencies · direct
Check history
  • OK2026-08-05
    13 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
  • NOTE2026-08-01
    12 OK · 1 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
  • OK2026-06-09
    13 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
  • ERROR2026-06-08
    12 OK · 0 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE
  • OK2026-05-02
    13 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
Show 3 earlier snapshots
  • ERROR2026-04-25
    11 OK · 0 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE
  • OK2026-03-18
    14 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
  • NOTE2026-03-10
    11 OK · 3 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE

Documentation

Documentation
READMEYes · 1,110 wordsVignettesYes · dynamicpkgdown siteNoNEWSYes · 100% structuredCode of conductNoContributing guideNo
Examples that run
100%
Documented parameters
100%
Return-value docs
100%
References docs
0%

Downloads

3.6K
CRAN downloads in the past year
Rank #8,428 · ~10/day · ~299/mo
Daily download trend is not available in this view yet.
15930 days
1.1K90 days
3.6K1 year
Compare downloads with other packages →
Also on135 r2u20 autocran

Repository

Repository
16Stars
5Forks
2Open issues
0Open PRs
1Releases
201Commits
4Contributors
201 commits · Last activity 2026-07-04 · +6.7% stars, 30d

Stars over time

2025-05-25 · 82026-07-22 · 16

Repository practices

Upstream repositoryBeta

5 development-tooling and community-health practices detected across 4 families in the upstream repository

Checks run against github.com/ipd-tools/ipd on 2026-08-16.

Continuous integration (1)
GitHub Actions
CRAN release process (2)
cran-comments.mdCRAN-SUBMISSION
Docs source (1)
README.Rmd
Lint, format, editor (1)
RStudio project
How this is detected·Detection ruleset v1 (2026-07-18)

Dependencies

Declared dependencies
15 external dependencies (excludes base and recommended)
Depends (1)
R >= 4.4.0
Imports (10)
LinkingTo (0)
none
Enhances (0)
none
Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

Code & Tests

People & History

People (11)
Maintainer (1)
Author, Maintainer, Copyright holder
Authors (11)
Author, Maintainer, Copyright holder
Author · added in 0.4.0
Author · added in 0.4.0
Author · added in 0.4.0
Copyright holders (1)
Author, Maintainer, Copyright holder
Package Timeline

5 releases. Pick two to compare their code metrics. R releases are shown for context.

  • R
    R 4.6.0 released · 2026-04-24
  • 0.4.1Latest
    2026-03-11 · current release · diff ↗
  • 0.4.0
    2026-03-06 · diff ↗
  • R
    R 4.5.0 released · 2025-04-11
  • 0.1.4
    2025-01-07 · diff ↗
  • 0.1.3
    2024-12-03 · diff ↗
  • 0.1.2
    2024-10-24
  • R
    R 4.4.0 released · 2024-04-24

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

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("ipd")
Salerno, S., Afiaz, A., Cheng, D., Gao, J., Gronsbell, J., Hoffman, K., Leek, J. T., Lu, Q., McCormick, T. H., Miao, J., & Neufeld, A. (2026). ipd: Inference on Predicted Data (Version 0.4.1) [Computer software]. https://doi.org/10.32614/CRAN.package.ipd

This is what citation() produces when a package has no citation file of its own. If it prints something else, use that.

Cite the R Observatory

For a number measured here: a download total, a coverage figure, an archival date.

APA

Balamuta, J. J. (2026). R Observatory: Metrics for ipd version 0.4.1 [Data set]. HJJB, LLC. Data release v2026-08-16. https://doi.org/10.5281/zenodo.21843040

From data release v2026-08-16, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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