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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 |
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 |
Reference manual: | fabricatr.pdf |
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 depends: | DeclareDesign, DesignLibrary |
Reverse imports: | GNOSIS |
Reverse suggests: | CausalQueries, estimatr, summclust |
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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.