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.
|Author||Joseph J. Lee and Tirthankar Dasgupta|
|Date of publication||2015-01-09 07:58:52|
|Maintainer||Joseph J. Lee <email@example.com>|
anovaF: Analysis of Variance F statistic
blockRand: Random Treatment Assignments for Randomized Block Designs
completeRand: Random Treatment Assignments for Completely Randomized...
constEffect: Potential Outcomes With Constant Treatment Effects
diffMeans: Single Pairwise Difference of Mean Outcomes
diffMeansVector: Vector of Pairwise Differences of Mean Outcomes
latinRand: Random Treatment Assignments for Isomorphic Latin Square...
randInterval: Randomization-Based Null Interval
randomizationInference-package: Flexible Randomization-Based Inference
randPlot: Randomization-Based Plot
randTest: Randomization-Based Hypothesis Testing
reading: Reading Data
withinBlockEffects: Pairwise Differences of Mean Outcomes Within Blocks
zeroEffect: Potential Outcomes With Zero Treatment Effects