Helps you imagine your data before you collect it. Builds a data frame one column at a time, with hierarchical levels, cross-classified levels, potential outcomes, and draws with a target intra-cluster correlation, so that a research design can be simulated and diagnosed before any data exist. Version 2.0 is a rewrite of the same public API on dplyr', tibble', purrr', and rlang'.