Hypothesis Testing in Cluster-Randomized Encouragement Designs


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Documentation for package ‘ivdesign’ version 0.1.0

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ACER Two-sided test for the average cluster effect ratio estimand
control_clusters 100 matched control clusters
double_rank Two-sided double-rank test for Fisher's sharp null hypothesis in a cluster-level proportional treatment effect model
double_rank_CI Construct a two-sided confidence interval for the proportional treatment effect in a cluster-level proportional treatment effect model
encouraged_clusters 100 matched encouraged clusters
PER Two-sided test for the pooled effect ratio estimand
PER_CI Construct a two-sided confidence interval for the pooled effect ratio