Generates data given a partial correlation network. Data can be made ordinal by using a threshold model with equally spaced thresholds.
ggmGenerator(ordinal = FALSE, nLevels = 4, skewFactor = 1, type =
c("uniform", "random"), missing = 0)Logical, should ordinal data be generated?
Number of levels used in ordinal data.
How skewed should ordinal data be? 1 indicates uniform data and higher values increase skewedness.
Should thresholds for ordinal data be sampled at random or determined uniformly?
Proportion of data that should be simulated to be missing.