Package: CHEMIST
Type: Package
Title: Causal Inference with High-Dimensional Error-Prone Covariates
        and Misclassified Treatments
Version: 0.1.5
Maintainer: Wei-Hsin Hsu <anson60214@gmail.com>
Authors@R: c(
     person("Wei-Hsin","Hsu",email = "anson60214@gmail.com",role = c("aut", "cre")),
     person("Li-Pang","Chen",email = "lchen723@nccu.edu.tw",role = "aut"))
Depends: R (>= 3.3.1),MASS
Imports: stats,XICOR,LaplacesDemon
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.
License: GPL-3
Encoding: UTF-8
RoxygenNote: 7.2.1
NeedsCompilation: no
Packaged: 2023-05-01 09:14:04 UTC; anson
Author: Wei-Hsin Hsu [aut, cre],
  Li-Pang Chen [aut]
Repository: CRAN
Date/Publication: 2023-05-01 14:15:38 UTC
Built: R 4.6.0; ; 2026-04-26 06:25:52 UTC; unix
