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:

8.63 score 92 stars 5 packages 234 scripts 1.9k downloads 24 exports 1 dependencies

Last updated 10 months agofrom:1dbfabda2c. Checks:OK: 7. Indexed: yes.

TargetResultDate
Doc / VignettesOKNov 11 2024
R-4.5-winOKNov 11 2024
R-4.5-linuxOKNov 11 2024
R-4.4-winOKNov 11 2024
R-4.4-macOKNov 11 2024
R-4.3-winOKNov 11 2024
R-4.3-macOKNov 11 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