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: 1.0.0
Depends: R (≥ 3.5.0)
Imports: rlang (≥ 1.0.0)
Suggests: testthat, data.table, mvnfast, MASS, extraDistr
Published: 2022-06-29
Author: Graeme Blair ORCID iD [aut, cre], Jasper Cooper ORCID iD [aut], Alexander Coppock ORCID iD [aut], Macartan Humphreys ORCID iD [aut], Aaron Rudkin [aut], Neal Fultz [aut], David C. Hall ORCID iD [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.pdf

Downloads:

Package source: fabricatr_1.0.0.tar.gz
Windows binaries: r-devel: fabricatr_1.0.0.zip, r-release: fabricatr_1.0.0.zip, r-oldrel: fabricatr_1.0.0.zip
macOS binaries: r-release (arm64): fabricatr_1.0.0.tgz, r-oldrel (arm64): fabricatr_1.0.0.tgz, r-release (x86_64): fabricatr_1.0.0.tgz, r-oldrel (x86_64): fabricatr_1.0.0.tgz
Old sources: fabricatr archive

Reverse dependencies:

Reverse depends: DeclareDesign, DesignLibrary
Reverse imports: rdddr
Reverse suggests: estimatr, fwildclusterboot, summclust

Linking:

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