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: | 0.10.0 |
| Depends: | R (≥ 3.5.0) |
| Imports: | rlang (≥ 0.2.0) |
| Suggests: | testthat, data.table, mvnfast, MASS |
| Published: | 2019-09-04 |
| Author: | Graeme Blair [aut, cre], Jasper Cooper [aut], Alexander Coppock [aut], Macartan Humphreys [aut], Aaron Rudkin [aut], Neal Fultz [aut] |
| Maintainer: | Graeme Blair <graeme.blair at ucla.edu> |
| BugReports: | https://github.com/DeclareDesign/fabricatr/issues |
| License: | MIT + file LICENSE |
| URL: | https://declaredesign.org/r/fabricatr, https://github.com/DeclareDesign/fabricatr |
| NeedsCompilation: | no |
| Materials: | NEWS |
| CRAN checks: | fabricatr results |
| Reference manual: | fabricatr.pdf |
| Package source: | fabricatr_0.10.0.tar.gz |
| Windows binaries: | r-devel: fabricatr_0.10.0.zip, r-release: fabricatr_0.10.0.zip, r-oldrel: fabricatr_0.10.0.zip |
| macOS binaries: | r-release: fabricatr_0.10.0.tgz, r-oldrel: fabricatr_0.10.0.tgz |
| Old sources: | fabricatr archive |
| Reverse depends: | DeclareDesign, DesignLibrary |
| Reverse suggests: | estimatr, modelsummary |
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