Package: humanleague 2.3.2
humanleague: Synthetic Population Generator
Generates high-entropy integer synthetic populations from marginal and (optionally) seed data using quasirandom sampling, in arbitrary dimensionality (Smith, Lovelace and Birkin (2017) <doi:10.18564/jasss.3550>). The package also provides an implementation of the Iterative Proportional Fitting (IPF) algorithm (Zaloznik (2011) <doi:10.13140/2.1.2480.9923>).
Authors:
humanleague_2.3.2.tar.gz
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humanleague_2.3.2.tgz(r-4.4-x86_64)humanleague_2.3.2.tgz(r-4.4-arm64)humanleague_2.3.2.tgz(r-4.3-x86_64)humanleague_2.3.2.tgz(r-4.3-arm64)
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humanleague.pdf |humanleague.html✨
humanleague/json (API)
| # Install 'humanleague' in R: |
| install.packages('humanleague', repos = c('https://virgesmith.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/virgesmith/humanleague/issues
c-plus-plus-11microsynthesisnodejspython3quasirandomsampling-methods
Last updated 29 days agofrom:e28f541b8c. Checks:OK: 9. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Oct 23 2024 |
| R-4.5-win-x86_64 | OK | Oct 23 2024 |
| R-4.5-linux-x86_64 | OK | Oct 23 2024 |
| R-4.4-win-x86_64 | OK | Oct 23 2024 |
| R-4.4-mac-x86_64 | OK | Oct 23 2024 |
| R-4.4-mac-aarch64 | OK | Oct 23 2024 |
| R-4.3-win-x86_64 | OK | Oct 23 2024 |
| R-4.3-mac-x86_64 | OK | Oct 23 2024 |
| R-4.3-mac-aarch64 | OK | Oct 23 2024 |
Exports:flattenintegeriseipfprob2IntFreqqisqisisobolSequenceunitTest
Dependencies:Rcpp
