R: Designing and Analyzing Two-Stage Randomized Experiments

# Designing and Analyzing Two-Stage Randomized Experiments

## Documentation for package ‘RCT2’ version 0.0.1

- DESCRIPTION file
- User guides, package vignettes and other documentation
- Package README

## Help Pages

CADEparamreg | Regression-based method for the ITT effects and the complier average direct effect/spillover effect
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
CalAPO | Point Estimation and Variance for the unit-level direct effect (ADE), marginal direct effect (MDE), and unit level spillover effect (ASE)
calpara | Sample size parameter calculations for detecting a specific alternative
Calsamplesize | Sample size calculations for detecting a specific alternative
india | Replication Data for: Causal Inference with Interference and Noncompliance in Two-Stage Randomized Experiments.
jd | Replication Data for: Statistical Inference and Power Analysis for Direct and Spillover Effects in Two-Stage Randomized Experiments
print.regression | Print Method for the RCT2 Package
Test2SRE | Hypothesis testing for three null hypotheses