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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 |
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These binaries (installable software) and packages are in development.
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