correlate               Perform generation of a correlated random
                        variable.
cross_levels            Creates panel or cross-classified data
draw_binary_icc         Draw binary data with fixed intra-cluster
                        correlation.
draw_discrete           Draw discrete variables including binary,
                        binomial count, poisson count, ordered, and
                        categorical
draw_likert             Recode a latent variable into a Likert response
                        variable
draw_multivariate       Draw multivariate random variables
draw_normal_icc         Draw normal data with fixed intra-cluster
                        correlation.
fabricate               Fabricate data
fabricatr               fabricatr package
join_using              Helper function handling specification of which
                        variables to join a cross-classified data on,
                        and what kind of correlation structure needed.
                        Correlation structures can only be provided if
                        the underlying call is a 'link_levels()' call.
potential_outcomes      Build potential outcomes variables
recycle                 Expands data to a given length through
                        recycling.
resample_data           Resample data, including hierarchical data
reveal_outcomes         Reveal outcomes
split_quantile          Split data into quantile buckets (e.g.
                        terciles, quartiles, quantiles, deciles).
