Causal Inference with High-Dimensional Error-Prone Covariates and Misclassified Treatments R package CHEMIST version 0.1.5 We aim to deal with the average treatment effect (ATE), where the data are subject to high-dimensionality and measurement error. This package primarily contains two functions, which are used to generate artificial data and estimate ATE with high-dimensional and error-prone data accommodated. Software Depends: R (>= 3.3.1),MASS Imports: stats,XICOR,LaplacesDemon Wei-Hsin Hsu <anson60214@gmail.com> Comprehensive R Archive Network (CRAN) Wei-Hsin Hsu [aut, cre], Li-Pang Chen [aut] GPL-3 2023-05-01 application/tgz https://CRAN.R-project.org/package=CHEMIST doi:10.32614/CRAN.package.CHEMIST