R Package for Designing and Analyzing Randomized Experiments

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Documentation for package ‘experiment’ version 1.2.1

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ATEbounds Bounding the Average Treatment Effect when some of the Outcome Data are Missing
ATEcluster Estimation of the Average Treatment Effects in Cluster-Randomized Experiments
ATEnocov Estimation of the Average Treatment Effect in Randomized Experiments
ATOPnoassumption Bounding the ATOP when some of the Outcome Data are Missing Under the Matched-Pairs Design
ATOPobs Sensitivity analysis for the ATOP when some of the Outcome Data are Missing Under the Matched-Pairs Design in Observational Studies
ATOPsens Sensitivity analysis for the ATOP when some of the Outcome Data are Missing Under the Matched-Pairs Design
AUPEC Estimation of the unnormalized Area Under Prescription Evaluation Curve (AUPEC) in Completely Randomized Experiments
CACEcluster Estimation of the Complier Average Causal Effects in Cluster-Randomized Experiments with Unit-level Noncompliance
CADErand Randomization-based method for the complier average direct effect and the complier average spillover effect
CADEreg Regression-based method for the complier average direct effect
NoncompLI Bayesian Analysis of Randomized Experiments with Noncompliance and Missing Outcomes Under the Assumption of Latent Ignorability
PAPD Estimation of the Population Average Prescription Difference in Completely Randomized Experiments
PAPE Estimation of the Population Average Prescription Effect in Completely Randomized Experiments
Randomize Randomization of the Treatment Assignment for Conducting Experiments
randomize Randomization of the Treatment Assignment for Conducting Experiments
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