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.

Documentation

Manual: fakeR.pdf
Vignette: Vignette Title

Maintainer: Lily Zhang <lilyhzhang1029 at gmail.com>

Author(s): Lily Zhang*, Dustin Tingley*

Install package and any missing dependencies by running this line in your R console:

install.packages("fakeR")

Depends
Imports mvtnorm, polycor, pscl, VGAM, stats
Suggests knitr, rmarkdown, testthat
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Package fakeR
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Version 1.0
Published 2016-05-26
License CC0
BugReports
SystemRequirements
NeedsCompilation no
Citation
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Package source fakeR_1.0.tar.gz