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.html , 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.