fakeR: Simulates Data from a Data Frame of Different Variable Types
Version 1.0

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.

Package details

AuthorLily Zhang [aut, cre], Dustin Tingley [aut]
Date of publication2016-05-26 17:54:23
MaintainerLily Zhang <[email protected]>
LicenseCC0
Version1.0
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("fakeR")

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fakeR documentation built on May 29, 2017, 10:59 a.m.