fabricatr: Tidyverse-First Data Fabrication
Helps you imagine your data before you collect it. Builds a data
frame one column at a time, with hierarchical levels, cross-classified
levels, potential outcomes, and draws with a target intra-cluster
correlation, so that a research design can be simulated and diagnosed
before any data exist. Version 2.0 is a rewrite of the same public API on
'dplyr', 'tibble', 'purrr', and 'rlang'.
| Version: |
2.0.0 |
| Depends: |
R (≥ 4.1.0) |
| Imports: |
dplyr (≥ 1.1.0), tibble, purrr, rlang, stats, utils |
| Suggests: |
knitr, MASS, rmarkdown, testthat (≥ 3.0.0) |
| Published: |
2026-10-21 |
| DOI: |
10.32614/CRAN.package.fabricatr |
| Author: |
Alexander Coppock
[aut, cre],
Graeme Blair
[aut],
Jasper Cooper
[aut],
Macartan Humphreys
[aut],
Aaron Rudkin [aut],
Neal Fultz [aut],
David C. Hall
[ctb] |
| Maintainer: |
Alexander Coppock <acoppock at gmail.com> |
| 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: |
README, NEWS |
| CRAN checks: |
fabricatr results |
Documentation:
Downloads:
Reverse dependencies:
Linking:
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