The hardware and bandwidth for this mirror is donated by METANET, the Webhosting and Full Service-Cloud Provider.
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[@]metanet.ch.
Implement the statistical test proposed in Weng et al. (2021) to test whether the average treatment effect curve is constant and whether a discrete covariate is a significant effect modifier.
| Version: | 0.1 |
| Imports: | KernSmooth, stats, SuperLearner |
| Published: | 2021-09-28 |
| DOI: | 10.32614/CRAN.package.DRDRtest |
| Author: | Guangwei Weng [aut, cre] |
| Maintainer: | Guangwei Weng <wengx076 at umn.edu> |
| License: | GPL (≥ 3) |
| NeedsCompilation: | no |
| CRAN checks: | DRDRtest results |
| Reference manual: | DRDRtest.pdf |
| Package source: | DRDRtest_0.1.tar.gz |
| Windows binaries: | r-devel: DRDRtest_0.1.zip, r-release: DRDRtest_0.1.zip, r-oldrel: DRDRtest_0.1.zip |
| macOS binaries: | r-release (arm64): DRDRtest_0.1.tgz, r-oldrel (arm64): DRDRtest_0.1.tgz, r-release (x86_64): DRDRtest_0.1.tgz, r-oldrel (x86_64): DRDRtest_0.1.tgz |
Please use the canonical form https://CRAN.R-project.org/package=DRDRtest 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.