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fakeR (version 1.0)

Simulates Data from a Data Frame of Different Variable Types

Description

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.

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Install

install.packages('fakeR')

Monthly Downloads

17

Version

1.0

License

CC0

Maintainer

Last Published

May 26th, 2016

Functions in fakeR (1.0)

fakeR-package

\Sexpr[results=rd,stage=build]{tools:::Rd_package_title("#1")}fakeRSimulates Data from a Data Frame of Different Variable Types