fakeR: 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.

Version: 1.0
Imports: mvtnorm, polycor, pscl, VGAM, stats
Suggests: knitr, rmarkdown, testthat
Published: 2016-05-26
Author: Lily Zhang [aut, cre], Dustin Tingley [aut]
Maintainer: Lily Zhang <lilyhzhang1029 at gmail.com>
License: CC0
NeedsCompilation: no
CRAN checks: fakeR results


Reference manual: fakeR.pdf
Vignettes: Vignette Title
Package source: fakeR_1.0.tar.gz
Windows binaries: r-devel: fakeR_1.0.zip, r-release: fakeR_1.0.zip, r-oldrel: fakeR_1.0.zip
macOS binaries: r-release: fakeR_1.0.tgz, r-oldrel: fakeR_1.0.tgz


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