ALL                     Keep every unit at a resampling level
add_level               Add a level, nested in the one before it if
                        there is one
correlate               Generate a variable correlated with an existing
                        variable
cross_levels            Create a full Cartesian product of declared
                        levels
declare_level           Declare an independent level for
                        cross-classification
draw_binary             Draw binary (0/1) outcomes
draw_binary_icc         Draw binary data with a target intra-cluster
                        correlation
draw_binomial           Draw binomial counts
draw_categorical        Draw categorical outcomes
draw_count              Draw Poisson count data
draw_likert             Recode a latent variable into a Likert response
draw_multivariate       Draw multivariate random variables
draw_normal_ar          Draw normally distributed data with serial
                        correlation within clusters
draw_normal_icc         Draw normally distributed data with a target
                        intra-cluster correlation
draw_ordered            Draw ordered categorical outcomes from a latent
                        variable
draw_quantile           Draw quantile bucket assignments
fabricate               Fabricate a data frame
fabricate_with_dots     Fabricate from a list of quosures
import_level            Import an existing data frame as a level
join_using              Name the levels to cross or link
link_levels             Sample N rows from a Cartesian product with
                        optional correlation
modify_level            Modify columns of an existing level, or of the
                        rows in hand
nest_level              Nest a level in the one before it (same as a
                        later add_level())
potential_outcomes      Build potential outcomes columns
recycle                 Recycle a vector to the length of the level
                        being built
resample_data           Resample a data frame, with optional
                        hierarchical cluster resampling
reveal_outcomes         Reveal observed outcomes from potential
                        outcomes columns
split_quantile          Split data into quantile buckets
