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:

Reference manual:	fabricatr.html , fabricatr.pdf
Vignettes:	fabricatr: what changes, what does not, and why (source, R code) Getting started (source, R code)

Downloads:

Package source:	fabricatr_2.0.0.tar.gz
Windows binaries:	r-devel: fabricatr_2.0.0.zip, r-release: fabricatr_2.0.0.zip, r-oldrel: fabricatr_2.0.0.zip
macOS binaries:	r-release (arm64): fabricatr_2.0.0.tgz, r-oldrel (arm64): fabricatr_2.0.0.tgz, r-release (x86_64): fabricatr_2.0.0.tgz, r-oldrel (x86_64): fabricatr_2.0.0.tgz
Old sources:	fabricatr archive

Reverse dependencies:

Reverse depends:	DeclareDesign, DesignLibrary
Reverse imports:	GNOSIS, osdc
Reverse suggests:	CausalQueries, randomizr

Linking:

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