Helps you imagine your data before you collect it. Hierarchical data structures and correlated data can be easily simulated, either from random number generators or by resampling from existing data sources. This package is faster with 'data.table' and 'mvnfast' installed.
Version: | 0.2.0 |
Depends: | R (≥ 3.3.0) |
Imports: | rlang |
Suggests: | testthat, dplyr, knitr, rmarkdown, data.table, mvnfast, diagram |
Published: | 2018-01-25 |
Author: | Graeme Blair [aut, cre], Jasper Cooper [aut], Alexander Coppock [aut], Macartan Humphreys [aut], Aaron Rudkin [aut], Neal Fultz [ctb] |
Maintainer: | Graeme Blair <graeme.blair at ucla.edu> |
BugReports: | https://github.com/DeclareDesign/fabricatr/issues |
License: | MIT + file LICENSE |
URL: | http://fabricatr.declaredesign.org, https://github.com/DeclareDesign/fabricatr |
NeedsCompilation: | no |
CRAN checks: | fabricatr results |
Reference manual: | fabricatr.pdf |
Vignettes: |
Advanced features Building and Importing Data Common Social Sciences variables Panel and Cross-classified data Getting started with **fabricatr** Using other data generating packages with **fabricatr** Resampling data with fabricatr Generating discrete random variables with fabricatr |
Package source: | fabricatr_0.2.0.tar.gz |
Windows binaries: | r-devel: fabricatr_0.2.0.zip, r-release: fabricatr_0.2.0.zip, r-oldrel: fabricatr_0.2.0.zip |
OS X El Capitan binaries: | r-release: fabricatr_0.2.0.tgz |
OS X Mavericks binaries: | r-oldrel: not available |
Reverse suggests: | estimatr |
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