EHRmuse

cranv0.0.2.2

Multi-Cohort Selection Bias Correction using IPW and AIPW Methods. 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

License GPL (>= 2)0 versions1 maintainers11 deps81 weekly dl
Ritoban1/EHRmuse
37
/ 100
Health
use with caution

[email protected] low health (37/100) — consider alternatives

  • Low health score (37/100)
Health breakdown0 – 100
10/25
maintenance
0/20
popularity
25/25
security
0/15
maturity
2/15
community
Vulnerabilities
0
none known

Health History

Dependency Tree

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Dependencies (11)
FormulaplotrixdplyrmagrittrMASSnleqslvxgboostsurveystatsgraphicsnnet
API access

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curl https://depscope.dev/api/check/cran/EHRmuse

First published · 2025-07-08 13:22:31

Last updated · 2025-07-08T12:20:06+00:00

EHRmuse — Health Score 37/100 | DepScope