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>.
| Version: | 1.1.0 |
| Imports: | Matrix, mvtnorm, hierNet, glmnet, SuperLearner, bkmr, qgcomp, gWQS, pROC, randomForest |
| Published: | 2026-07-13 |
| DOI: | 10.32614/CRAN.package.CompMix |
| Author: | Wei Hao [aut, cre] |
| Maintainer: | Wei Hao <weihao at umich.edu> |
| License: | GPL-3 |
| NeedsCompilation: | no |
| Citation: | CompMix citation info |
| Materials: | README |
| CRAN checks: | CompMix results |
| Reference manual: | CompMix.html , CompMix.pdf |
| Package source: | CompMix_1.1.0.tar.gz |
| Windows binaries: | r-devel: CompMix_1.1.0.zip, r-release: CompMix_1.1.0.zip, r-oldrel: CompMix_1.1.0.zip |
| macOS binaries: | r-release (arm64): CompMix_1.1.0.tgz, r-oldrel (arm64): CompMix_1.1.0.tgz, r-release (x86_64): CompMix_1.1.0.tgz, r-oldrel (x86_64): CompMix_1.1.0.tgz |
| Old sources: | CompMix archive |
Please use the canonical form https://CRAN.R-project.org/package=CompMix to link to this page.
Need a high-speed mirror for your open-source project?
Contact our mirror admin team at info@clientvps.com.
This archive is provided as a free public service to the community.
Proudly supported by infrastructure from VPSPulse , RxServers , BuyNumber , UnitVPS , OffshoreName and secure payment technology by ArionPay.