Package: ivdesign 0.1.0
Bo Zhang
ivdesign: Hypothesis Testing in Cluster-Randomized Encouragement Designs
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>.
Authors:
ivdesign_0.1.0.tar.gz
ivdesign_0.1.0.tar.gz(r-4.5-noble)ivdesign_0.1.0.tar.gz(r-4.4-noble)
ivdesign_0.1.0.tgz(r-4.4-emscripten)ivdesign_0.1.0.tgz(r-4.3-emscripten)
ivdesign.pdf |ivdesign.html✨
ivdesign/json (API)
| # Install 'ivdesign' in R: |
| install.packages('ivdesign', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
- control_clusters - 100 matched control clusters
- encouraged_clusters - 100 matched encouraged clusters
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 4 years agofrom:37c2988c28. Checks:OK: 2. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Dec 09 2024 |
| R-4.5-linux | OK | Dec 09 2024 |
Exports:ACERdouble_rankdouble_rank_CIPERPER_CI
Dependencies:
