Ricrt
Randomization Inference of Clustered Randomized Trials
Methods for randomization inference in group-randomized trials. Specifically, it can be used to analyze the treatment effect of stratified data with multiple clusters in each stratum with treatment given on cluster level. User may also input as many covariates as they want to fit the data. Methods are described by Dylan S Small et al., (2012) <doi:10.1198/016214507000000897>.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
0.1.0 |
rolling linux/jammy R-4.5 | Ricrt_0.1.0.tar.gz |
54.0 KiB |
0.1.0 |
rolling linux/noble R-4.5 | Ricrt_0.1.0.tar.gz |
53.9 KiB |
0.1.0 |
rolling source/ R- | Ricrt_0.1.0.tar.gz |
20.1 KiB |
0.1.0 |
latest linux/jammy R-4.5 | Ricrt_0.1.0.tar.gz |
54.0 KiB |
0.1.0 |
latest linux/noble R-4.5 | Ricrt_0.1.0.tar.gz |
53.9 KiB |
0.1.0 |
latest source/ R- | Ricrt_0.1.0.tar.gz |
20.1 KiB |
0.1.0 |
2026-04-26 source/ R- | Ricrt_0.1.0.tar.gz |
20.1 KiB |
0.1.0 |
2026-04-23 source/ R- | Ricrt_0.1.0.tar.gz |
20.1 KiB |
0.1.0 |
2026-04-09 windows/windows R-4.5 | Ricrt_0.1.0.zip |
57.1 KiB |
0.1.0 |
2025-04-20 source/ R- | Ricrt_0.1.0.tar.gz |
20.1 KiB |