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EHRmuse

0.0.2.2

Multi-Cohort Selection Bias Correction using IPW and AIPW Methods

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2.2Kdownloads / year
test coverage
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Overview

About
Maintained by Michael KleinsasserFirst published 2025-01-203 releasesCRAN page ↗GitHub ↗

Comprehensive toolkit for addressing selection bias in binary disease models across diverse non-probability samples, each with unique selection mechanisms. It utilizes Inverse Probability Weighting (IPW) and Augmented Inverse Probability Weighting (AIPW) methods to reduce selection bias effectively in multiple non-probability cohorts by integrating data from either individual-level or summary-level external sources. The package also provides a variety of variance estimation techniques. Please refer to Kundu et al. doi:10.48550/arXiv.2412.00228.

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Health

CRAN checks
4NOTE9OK
Failing flavors
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Check history
  • NOTE2026-07-16
    10 OK · 3 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
  • OK2026-03-10
    14 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE

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2.2K
CRAN downloads in the past year
Rank #20,438 · ~6/day · ~181/mo
EHRmuse
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Repository

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Last activity 2025-07-08

Repository practices

Upstream repositoryBeta

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

Checks run against github.com/ritoban1/ehrmuse on 2026-07-19.

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

Dependencies

Declared dependencies
7 external dependencies (excludes base and recommended)
Depends (1)
R >= 4.0.0
Imports (11)
LinkingTo (0)
none
Suggests (0)
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Enhances (0)
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Code & Tests

People & History

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

3 releases. R releases are shown for context.

  • R
    R 4.6.0 released · 2026-04-24
  • 0.0.2.2Latest
    2025-07-08 · current release · diff ↗
  • R
    R 4.5.0 released · 2025-04-11
  • 0.0.2.1
    2025-01-28 · diff ↗
  • 0.0.2.0
    2025-01-20
  • R
    R 4.4.0 released · 2024-04-24

Package metadata

First published
2025-01-20
Total releases
3 / 1 yrs
License
GPL (>= 2) OSI
Download size
32 KB
Installed size
not tracked yet
With dependencies
not tracked yet
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