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An implementation of randomization-based hypothesis testing for three different estimands in a cluster-randomized encouragement experiment. The three estimands include (1) testing a cluster-level constant proportional treatment effect (Fisher's sharp null hypothesis), (2) pooled effect ratio, and (3) average cluster effect ratio. To test the third estimand, user needs to install 'Gurobi' (>= 9.0.1) optimizer via its R API. Please refer to <https://www.gurobi.com/documentation/9.0/refman/ins_the_r_package.html>.
| Version: | 0.1.0 |
| Depends: | R (≥ 2.10) |
| Imports: | stats |
| Suggests: | gurobi, Matrix |
| Published: | 2020-07-14 |
| Author: | Bo Zhang |
| Maintainer: | Bo Zhang <bozhan at wharton.upenn.edu> |
| License: | GPL-3 |
| NeedsCompilation: | no |
| CRAN checks: | ivdesign results |
| Reference manual: | ivdesign.pdf |
| Package source: | ivdesign_0.1.0.tar.gz |
| Windows binaries: | r-devel: ivdesign_0.1.0.zip, r-release: ivdesign_0.1.0.zip, r-oldrel: ivdesign_0.1.0.zip |
| macOS binaries: | r-release (arm64): ivdesign_0.1.0.tgz, r-oldrel (arm64): ivdesign_0.1.0.tgz, r-release (x86_64): ivdesign_0.1.0.tgz, r-oldrel (x86_64): ivdesign_0.1.0.tgz |
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