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
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
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
