experiment
R Package for Designing and Analyzing Randomized Experiments
Provides various statistical methods for designing and analyzing randomized experiments. One functionality of the package is the implementation of randomized-block and matched-pair designs based on possibly multivariate pre-treatment covariates. The package also provides the tools to analyze various randomized experiments including cluster randomized experiments, two-stage randomized experiments, randomized experiments with noncompliance, and randomized experiments with missing data.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
1.2.1 |
rolling source/ R- | experiment_1.2.1.tar.gz |
111.5 KiB |
1.2.1 |
latest source/ R- | experiment_1.2.1.tar.gz |
111.5 KiB |
1.2.1 |
2026-04-23 source/ R- | experiment_1.2.1.tar.gz |
111.5 KiB |
1.2.1 |
2026-04-09 windows/windows R-4.5 | experiment_1.2.1.zip |
369.6 KiB |