Package: fakeR
Type: Package
Title: Simulates Data from a Data Frame of Different Variable Types
Version: 1.0
Date: 2016-05-25
Authors@R: c(person("Lily", "Zhang", email = "lilyhzhang1029@gmail.com",
  	role = c("aut", "cre")),
		person("Dustin","Tingley", email = "dtingley@gov.harvard.edu",
		role = c("aut")))
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. 
License: CC0
Imports: mvtnorm, polycor, pscl, VGAM, stats
Suggests: knitr, rmarkdown, testthat
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2016-05-26 06:59:29 UTC; lilyzhang
Author: Lily Zhang [aut, cre],
  Dustin Tingley [aut]
Maintainer: Lily Zhang <lilyhzhang1029@gmail.com>
Repository: CRAN
Date/Publication: 2016-05-26 17:54:23
Built: R 4.0.2; ; 2020-07-16 00:34:58 UTC; unix
