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.

AuthorLily Zhang [aut, cre], Dustin Tingley [aut]
Date of publication2016-05-26 17:54:23
MaintainerLily Zhang <lilyhzhang1029@gmail.com>
LicenseCC0
Version1.0

View on CRAN

Files in this package

fakeR
fakeR/inst
fakeR/inst/doc
fakeR/inst/doc/my-vignette.html
fakeR/inst/doc/my-vignette.Rmd
fakeR/inst/doc/my-vignette.R
fakeR/tests
fakeR/tests/testthat.R
fakeR/NAMESPACE
fakeR/R
fakeR/R/fakeR.R
fakeR/vignettes
fakeR/vignettes/my-vignette.Rmd
fakeR/MD5
fakeR/build
fakeR/build/vignette.rds
fakeR/build/partial.rdb
fakeR/DESCRIPTION
fakeR/man
fakeR/man/simulate_dataset.Rd fakeR/man/fakeR-package.Rd fakeR/man/simulate_dataset_ts.Rd

Questions? Problems? Suggestions? or email at ian@mutexlabs.com.

All documentation is copyright its authors; we didn't write any of that.