Simulates Data from a Data Frame of Different Variable Types

Generates fake data from a dataset of different variable types. The package contains the functions simulate_dataset and simulate_dataset_ts to simulate time-independent and time-dependent data. It randomly samples character and factor variables from contingency tables and numeric and ordered factors from a multivariate normal distribution. It currently supports the simulation of stationary and zero-inflated count time series.


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install.packages("fakeR")

1.0 by Lily Zhang, 9 months ago


Browse source code at https://github.com/cran/fakeR


Authors: Lily Zhang [aut, cre], Dustin Tingley [aut]


Documentation:   PDF Manual  


CC0 license


Imports mvtnorm, polycor, pscl, VGAM, stats

Suggests knitr, rmarkdown, testthat


See at CRAN