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>.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
0.1.0 |
rolling linux/jammy R-4.5 | ivdesign_0.1.0.tar.gz |
48.2 KiB |
0.1.0 |
rolling linux/noble R-4.5 | ivdesign_0.1.0.tar.gz |
48.1 KiB |
0.1.0 |
rolling source/ R- | ivdesign_0.1.0.tar.gz |
16.3 KiB |
0.1.0 |
latest linux/jammy R-4.5 | ivdesign_0.1.0.tar.gz |
48.2 KiB |
0.1.0 |
latest linux/noble R-4.5 | ivdesign_0.1.0.tar.gz |
48.1 KiB |
0.1.0 |
latest source/ R- | ivdesign_0.1.0.tar.gz |
16.3 KiB |
0.1.0 |
2026-04-26 source/ R- | ivdesign_0.1.0.tar.gz |
16.3 KiB |
0.1.0 |
2026-04-23 source/ R- | ivdesign_0.1.0.tar.gz |
16.3 KiB |
0.1.0 |
2026-04-09 windows/windows R-4.5 | ivdesign_0.1.0.zip |
51.6 KiB |
0.1.0 |
2025-04-20 source/ R- | ivdesign_0.1.0.tar.gz |
16.3 KiB |