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CompMix  

A Comprehensive Toolkit for Environmental Mixtures Analysis ('CompMix')
View on CRAN: Click here


Download and install CompMix package within the R console
Install from CRAN:
install.packages("CompMix")

Install from Github:
library("remotes")
install_github("cran/CompMix")

Install by package version:
library("remotes")
install_version("CompMix", "0.1.0")



Attach the package and use:
library("CompMix")
Maintained by
Wei Hao
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2024-05-22
Latest Update: 2024-05-22
Description:
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, Bayeisan kernel machine regression (BKMR), hierNet, Quantile g-computation, Weighted quantile sum (WQS) and Random forest. Hao W, Cathey A, Aung M, Boss J, Meeker J, Mukherjee B. (2024) "Statistical methods for chemical mixtures: a practitioners guide". <doi:10.1101/2024.03.03.24303677>.
How to cite:
Wei Hao (2024). CompMix: A Comprehensive Toolkit for Environmental Mixtures Analysis ('CompMix'). R package version 0.1.0, https://cran.r-project.org/web/packages/CompMix. Accessed 13 Mar. 2026.
Previous versions and publish date:
0.1.0 (2024-05-22 14:10)
Other packages that cited CompMix R package
View CompMix citation profile
Other R packages that CompMix depends, imports, suggests or enhances
Complete documentation for CompMix
Functions, R codes and Examples using the CompMix R package
Full CompMix package functions and examples
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