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.
| Version: | 0.1.5 |
| Depends: | R (≥ 3.3.1), MASS |
| Imports: | stats, XICOR, LaplacesDemon |
| Published: | 2023-05-01 |
| DOI: | 10.32614/CRAN.package.CHEMIST |
| Author: | Wei-Hsin Hsu [aut, cre], Li-Pang Chen [aut] |
| Maintainer: | Wei-Hsin Hsu <anson60214 at gmail.com> |
| License: | GPL-3 |
| NeedsCompilation: | no |
| CRAN checks: | CHEMIST results |
| Reference manual: | CHEMIST.pdf |
| Package source: | CHEMIST_0.1.5.tar.gz |
| Windows binaries: | r-devel: CHEMIST_0.1.5.zip, r-release: CHEMIST_0.1.5.zip, r-oldrel: CHEMIST_0.1.5.zip |
| macOS binaries: | r-release (arm64): CHEMIST_0.1.5.tgz, r-oldrel (arm64): CHEMIST_0.1.5.tgz, r-release (x86_64): CHEMIST_0.1.5.tgz, r-oldrel (x86_64): CHEMIST_0.1.5.tgz |
| Old sources: | CHEMIST archive |
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