Package: fabricatr 1.0.2
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:
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')) |
Bug tracker:https://github.com/declaredesign/fabricatr/issues
Last updated 8 months agofrom:1dbfabda2c. Checks:OK: 7. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Sep 12 2024 |
R-4.5-win | OK | Sep 12 2024 |
R-4.5-linux | OK | Sep 12 2024 |
R-4.4-win | OK | Sep 12 2024 |
R-4.4-mac | OK | Sep 12 2024 |
R-4.3-win | OK | Sep 12 2024 |
R-4.3-mac | OK | Sep 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