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

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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.

Author
Lily Zhang [aut, cre], Dustin Tingley [aut]
Date of publication
2016-05-26 17:54:23
Maintainer
Lily Zhang <lilyhzhang1029@gmail.com>
License
CC0
Version
1.0

View on CRAN

Man pages

fakeR-package
\Sexpr[results=rd,stage=build]{tools:::Rd_package_title("fakeR")}
simulate_dataset
Simulate from a data frame of time-independent data.
simulate_dataset_ts
Simulate a dataframe of time series data

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