lhz1029/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.

Getting started

Package details

AuthorLily Zhang
MaintainerLily Zhang <lilyhzhang1029@gmail.com>
LicenseCC0
Version1.0
Package repositoryView on GitHub
Installation Install the latest version of this package by entering the following in R:
install.packages("remotes")
remotes::install_github("lhz1029/fakeR")
lhz1029/fakeR documentation built on March 9, 2020, 4:10 p.m.