Package: fabricatr 1.0.2

Graeme Blair

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.

Authors:Graeme Blair [aut, cre], Jasper Cooper [aut], Alexander Coppock [aut], Macartan Humphreys [aut], Aaron Rudkin [aut], Neal Fultz [aut], David C. Hall [ctb]

fabricatr_1.0.2.tar.gz
fabricatr_1.0.2.zip(r-4.5)fabricatr_1.0.2.zip(r-4.4)fabricatr_1.0.2.zip(r-4.3)
fabricatr_1.0.2.tgz(r-4.4-any)fabricatr_1.0.2.tgz(r-4.3-any)
fabricatr_1.0.2.tar.gz(r-4.5-noble)fabricatr_1.0.2.tar.gz(r-4.4-noble)
fabricatr_1.0.2.tgz(r-4.4-emscripten)fabricatr_1.0.2.tgz(r-4.3-emscripten)
fabricatr.pdf |fabricatr.html
fabricatr/json (API)
NEWS

# Install 'fabricatr' in R:
install.packages('fabricatr', repos = c('https://declaredesign.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Bug tracker:https://github.com/declaredesign/fabricatr/issues

On CRAN:

24 exports 91 stars 4.27 score 1 dependencies 3 dependents 232 scripts 1.3k downloads

Last updated 8 months agofrom:1dbfabda2c. Checks:OK: 7. Indexed: yes.

TargetResultDate
Doc / VignettesOKSep 12 2024
R-4.5-winOKSep 12 2024
R-4.5-linuxOKSep 12 2024
R-4.4-winOKSep 12 2024
R-4.4-macOKSep 12 2024
R-4.3-winOKSep 12 2024
R-4.3-macOKSep 12 2024

Exports:add_levelALLcorrelatecross_levelsdraw_binarydraw_binary_iccdraw_binomialdraw_categoricaldraw_countdraw_likertdraw_multivariatedraw_normal_iccdraw_ordereddraw_quantilefabricatejoin_usinglink_levelsmodify_levelnest_levelpotential_outcomesrecycleresample_datareveal_outcomessplit_quantile

Dependencies:rlang