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CHEMIST  

Causal Inference with High-Dimensional Error-Prone Covariates and Misclassified Treatments
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("CHEMIST", "0.1.5")



Attach the package and use:
library("CHEMIST")
Maintained by
Wei-Hsin Hsu
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2023-04-23
Latest Update: 2023-05-01
Description:
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.
How to cite:
Wei-Hsin Hsu (2023). CHEMIST: Causal Inference with High-Dimensional Error-Prone Covariates and Misclassified Treatments. R package version 0.1.5, https://cran.r-project.org/web/packages/CHEMIST. Accessed 22 Dec. 2024.
Previous versions and publish date:
0.1.3 (2023-04-23 17:10)
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