fabricatr: Imagine Your Data Before You Collect It

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:	1.0.2
Depends:	R (≥ 3.5.0)
Imports:	rlang (≥ 1.0.0)
Suggests:	testthat, data.table, mvnfast, MASS, extraDistr
Published:	2024-01-16
DOI:	10.32614/CRAN.package.fabricatr
Author:	Graeme Blair [aut, cre], Jasper Cooper [aut], Alexander Coppock [aut], Macartan Humphreys [aut], Aaron Rudkin [aut], Neal Fultz [aut], David C. Hall [ctb]
Maintainer:	Graeme Blair <graeme.blair 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:	NEWS
CRAN checks:	fabricatr results

Documentation:

Reference manual:

fabricatr.html , fabricatr.pdf

Downloads:

Package source:	fabricatr_1.0.2.tar.gz
Windows binaries:	r-devel: fabricatr_1.0.2.zip, r-release: fabricatr_1.0.2.zip, r-oldrel: fabricatr_1.0.2.zip
macOS binaries:	r-release (arm64): fabricatr_1.0.2.tgz, r-oldrel (arm64): fabricatr_1.0.2.tgz, r-release (x86_64): fabricatr_1.0.2.tgz, r-oldrel (x86_64): fabricatr_1.0.2.tgz
Old sources:	fabricatr archive

Reverse dependencies:

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

Linking:

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