Skip to content

MetaIntegration

0.1.2

Ensemble Meta-Prediction Framework

0packages depend
2.7Kdownloads / year
test coverage
0/13checks pass

Overview

About
Maintained by Michael KleinsasserFirst published 2020-11-202 releasesCRAN page ↗GitHub ↗

An ensemble meta-prediction framework to integrate multiple regression models into a current study. Gu, T., Taylor, J.M.G. and Mukherjee, B. (2020) arXiv:2010.09971. A meta-analysis framework along with two weighted estimators as the ensemble of empirical Bayes estimators, which combines the estimates from the different external models. The proposed framework is flexible and robust in the ways that (i) it is capable of incorporating external models that use a slightly different set of covariates; (ii) it is able to identify the most relevant external information and diminish the influence of information that is less compatible with the internal data; and (iii) it nicely balances the bias-variance trade-off while preserving the most efficiency gain. The proposed estimators are more efficient than the naive analysis of the internal data and other naive combinations of external estimators.

Install

Health

CRAN checks
13NOTE
Failing flavors
  • NOTE r-devel-linux-x86_64-debian-clang
  • NOTE r-devel-linux-x86_64-debian-gcc
  • NOTE r-devel-linux-x86_64-fedora-clang
  • NOTE r-devel-linux-x86_64-fedora-gcc
  • NOTE r-devel-windows-x86_64
  • NOTE r-oldrel-macos-arm64
  • NOTE r-oldrel-macos-x86_64
  • NOTE r-oldrel-windows-x86_64
  • NOTE r-patched-linux-x86_64
  • NOTE r-release-linux-x86_64
  • NOTE r-release-macos-arm64
  • NOTE r-release-macos-x86_64
  • NOTE r-release-windows-x86_64
Slowest check: 1.4 min · r-oldrel-windows-x86_64
Code health
None
Tests · ratio 0.00
not tracked
Coverage
100%
Documentation · exports
4
Dependencies · direct
Check history
  • NOTE2026-03-10
    0 OK · 14 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE

Documentation

Documentation
READMEYes · 183 wordsVignettesNopkgdown siteNoNEWSNoCode of conductNoContributing guideNo
Examples that run
75%
Documented parameters
100%
Return-value docs
100%
References docs
78%

Downloads

2.7K
CRAN downloads in the past year
Rank #16,278 · ~7/day · ~222/mo
Daily download trend is not available in this view yet.
19630 days
65790 days
2.7K1 year
Compare downloads with other packages →
Also on117 r2u1 autocran30 c2d4u

Repository

Repository
1Stars
0Forks
0Open issues
0Open PRs
0Releases
18Commits
2Contributors
18 commits · Last activity 2021-09-22

Stars over time

2024-02-17 · 12026-07-07 · 1

Repository practices

Upstream repositoryBeta

2 development-tooling and community-health practices detected across 2 families in the upstream repository

Checks run against github.com/umich-biostatistics/metaintegration on 2026-07-31.

Docs source (1)
README.Rmd
Lint, format, editor (1)
RStudio project
How this is detected·Detection ruleset v1 (2026-07-18)

Dependencies

Declared dependencies
3 external dependencies (excludes base and recommended)
Depends (1)
R >= 3.5.0
Imports (4)
LinkingTo (0)
none
Suggests (0)
none
Enhances (0)
none
Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

Code & Tests

People & History

People (3)
Maintainer (1)
Authors (2)
Author
Package Timeline

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

  • R
    R 4.6.0 released · 2026-04-24
  • R
    R 4.5.0 released · 2025-04-11
  • R
    R 4.4.0 released · 2024-04-24
  • R
    R 4.3.0 released · 2023-04-21
  • R
    R 4.2.0 released · 2022-04-22
  • R
    R 4.1.0 released · 2021-05-18
  • 0.1.2Latest
    2021-03-17 · current release · diff ↗
  • 0.1.1
    2020-11-20
  • R
    R 4.0.0 released · 2020-04-24

Package metadata

First published
2020-11-20
Total releases
2 / 6 yrs
License
GPL-2 OSI
Minimum R
≥ 3.5.0
Download size
17 KB
Installed size
not tracked yet
With dependencies
not tracked yet
Appears in task views
Report a problem with this page →

Privacy choices

These apply to this browser and are stored on this device only. Nothing about your choice is sent to us.

Read the privacy policy