Flexible Randomization-Based Inference
Analysis of Variance F statistic
Random Treatment Assignments for Randomized Block Designs
Random Treatment Assignments for Completely Randomized Designs
Potential Outcomes With Constant Treatment Effects
Single Pairwise Difference of Mean Outcomes
Vector of Pairwise Differences of Mean Outcomes
Random Treatment Assignments for Isomorphic Latin Square Designs
Randomization-Based Null Interval
Flexible Randomization-Based Inference
Randomization-Based Plot
Randomization-Based Hypothesis Testing
Pairwise Differences of Mean Outcomes Within Blocks
Potential Outcomes With Zero Treatment Effects
Allows the user to conduct randomization-based inference for a wide variety of experimental scenarios. The package leverages a potential outcomes framework to output randomization-based p-values and null intervals for test statistics geared toward any estimands of interest, according to the specified null and alternative hypotheses. Users can define custom randomization schemes so that the randomization distributions are accurate for their experimental settings. The package also creates visualizations of randomization distributions and can test multiple test statistics simultaneously.