CompMix
1.1.0A Comprehensive Toolkit for Environmental Mixtures Analysis
Overview
Quantitative characterization of the health impacts associated with exposure to chemical mixtures has received considerable attention in current environmental and epidemiological studies. 'CompMix' package allows practitioners to estimate the health impacts from exposure to chemical mixtures data through various statistical approaches, including Lasso, Elastic net, Bayesian kernel machine regression (BKMR), hierNet, Quantile g-computation, Weighted quantile sum (WQS) and Random forest. Methods and recommendations are described in Hao et al. (2025) doi:10.1289/EHP15305.
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- OK2026-07-135 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
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People & History
2 releases. R releases are shown for context.
- 1.1.0Latest
- unarchivedReturned to CRAN2026-07-13
- RR 4.6.0 released · 2026-04-24
- archivedRemoved from CRAN2025-12-19requires archived package 'higlasso'
- RR 4.5.0 released · 2025-04-11
- 0.1.02024-05-22
- RR 4.4.0 released · 2024-04-24
Package metadata
- First published
- 2026-07-13
- Total releases
- 2 / 1 yrs
- License
- GPL-3 OSI
- Download size
- not tracked yet
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