Function reference

correlate()
 Perform generation of a correlated random variable.

cross_levels()
link_levels()
 Creates panel or crossclassified data

draw_binary_icc()
 Draw binary data with fixed intracluster correlation.

draw_binomial()
draw_categorical()
draw_ordered()
draw_count()
draw_binary()
draw_quantile()
 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 intracluster correlation.

fabricate()
add_level()
modify_level()
nest_level()
 Fabricate data

fabricatr
fabricatrpackage
 fabricatr package

join_using()
 Helper function handling specification of which variables to join a
crossclassified 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).