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: 2026-10-10 13:35:22 UTC; root
Author: Wei-Hsin Hsu [aut, cre], Li-Pang Chen [aut]
Repository: https://anson60214.r-universe.dev
Date/Publication: 2023-05-01 13:15:38 UTC
RemoteUrl: https://github.com/cran/CHEMIST
RemoteRef: HEAD
RemoteSha: 7f2ceb2e3cd06faa7fc20b220883b6d95e518d30