The hardware and bandwidth for this mirror is donated by dogado GmbH, the Webhosting and Full Service-Cloud Provider. Check out our Wordpress Tutorial.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]dogado.de.
The 'AIPW' pacakge implements the augmented inverse probability weighting, a doubly robust estimator, for average causal effect estimation with user-defined stacked machine learning algorithms. To cite the 'AIPW' package, please use: "Yongqi Zhong, Edward H. Kennedy, Lisa M. Bodnar, Ashley I. Naimi (2021, In Press). AIPW: An R Package for Augmented Inverse Probability Weighted Estimation of Average Causal Effects. American Journal of Epidemiology". Visit: <https://yqzhong7.github.io/AIPW/> for more information.
Version: | 0.6.3.2 |
Depends: | R (≥ 2.10) |
Imports: | stats, utils, R6, SuperLearner, ggplot2, future.apply, progressr, Rsolnp |
Suggests: | testthat (≥ 2.1.0), knitr, rmarkdown, covr, tmle |
Published: | 2021-06-11 |
DOI: | 10.32614/CRAN.package.AIPW |
Author: | Yongqi Zhong |
Maintainer: | Yongqi Zhong <yq.zhong7 at gmail.com> |
BugReports: | https://github.com/yqzhong7/AIPW/issues |
License: | GPL-3 |
URL: | https://github.com/yqzhong7/AIPW |
NeedsCompilation: | no |
Language: | es |
Citation: | AIPW citation info |
Materials: | README |
In views: | CausalInference |
CRAN checks: | AIPW results |
Reference manual: | AIPW.pdf |
Vignettes: |
Getting Started with AIPW |
Package source: | AIPW_0.6.3.2.tar.gz |
Windows binaries: | r-devel: AIPW_0.6.3.2.zip, r-release: AIPW_0.6.3.2.zip, r-oldrel: AIPW_0.6.3.2.zip |
macOS binaries: | r-release (arm64): AIPW_0.6.3.2.tgz, r-oldrel (arm64): AIPW_0.6.3.2.tgz, r-release (x86_64): AIPW_0.6.3.2.tgz, r-oldrel (x86_64): AIPW_0.6.3.2.tgz |
Reverse imports: | RobinCar |
Please use the canonical form https://CRAN.R-project.org/package=AIPW to link to this page.
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
Health stats visible at Monitor.