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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