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

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

## Documentation for package ‘RCT’ version 1.2

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

## Help Pages

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