Package: CHEMIST 0.1.5
CHEMIST: Causal Inference with High-Dimensional Error-Prone Covariates and Misclassified Treatments
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.
Authors:
CHEMIST_0.1.5.tar.gz
CHEMIST_0.1.5.zip(r-4.7-any)CHEMIST_0.1.5.zip(r-4.6-any)CHEMIST_0.1.5.zip(r-4.5-any)
CHEMIST_0.1.5.tgz(r-4.6-any)CHEMIST_0.1.5.tgz(r-4.5-any)
CHEMIST_0.1.5.tar.gz(r-4.7-any)CHEMIST_0.1.5.tar.gz(r-4.6-any)
CHEMIST_0.1.5.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
CHEMIST/json (API)
| # Install 'CHEMIST' in R: |
| install.packages('CHEMIST', repos = c('https://anson60214.r-universe.dev', 'https://cloud.r-project.org')) |
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated from:7f2ceb2e3c. Checks:9 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel | OK | 117 | ||
| source / vignettes | OK | 167 | ||
| linux-release | OK | 88 | ||
| macos-release | OK | 158 | ||
| macos-oldrel | OK | 157 | ||
| windows-devel | OK | 57 | ||
| windows-release | OK | 58 | ||
| windows-oldrel | OK | 64 | ||
| wasm-release | OK | 78 |
Exports:CHEMIST_packageData_GenFATE
Dependencies:foreignGPArotationLaplacesDemonlatticeMASSmnormtnlmepsychpsychToolsXICOR
