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-4.7-any)ivdesign_0.1.0.tar.gz(r-4.6-any)
ivdesign_0.1.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
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 from:37c2988c28. Checks:4 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-x86_64 | OK | 94 | ||
| source / vignettes | OK | 143 | ||
| linux-release-x86_64 | OK | 110 | ||
| wasm-release | OK | 88 |
Exports:ACERdouble_rankdouble_rank_CIPERPER_CI
Dependencies:
