Assign Treatments, Power Calculations, Balances, Impact Evaluation of Experiments

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Documentation for package ‘RCT’ version 1.2

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RCT-package Designing, random assigning and evaluating Randomized Control Trials
balance_regression balance_regression() Runs a LPM of treatment status against all covariates (treatment~X'B).
balance_table Creates balance table for the X variables across treatment status
impact_eval Impact Evaluation of Treatment Effects
ntile_label ntile_label() ranks observations in n groups, with labels
N_min N_min() computes the minimum population needed to detect difference between control group and each treatment, given a target minimum detectable effect
RCT Designing, random assigning and evaluating Randomized Control Trials
summary_statistics summary_statistics() Creates summary statistics table of all numeric variables in data
tau_min tau_min() computes the minimum detectable difference between control group and each treatment
tau_min_probability tau_min_probability() computes the minimum detectable difference between control group and each treatment for a dichotomous variable
treatment_assign treatment_assign() carries out robust treatment assignment by strata/blocks