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
humanleague_2.3.2.zip(r-4.7)humanleague_2.3.2.zip(r-4.6)humanleague_2.3.2.zip(r-4.5)
humanleague_2.3.2.tgz(r-4.6-x86_64)humanleague_2.3.2.tgz(r-4.6-arm64)humanleague_2.3.2.tgz(r-4.5-x86_64)humanleague_2.3.2.tgz(r-4.5-arm64)
humanleague_2.3.2.tar.gz(r-4.7-arm64)humanleague_2.3.2.tar.gz(r-4.7-x86_64)humanleague_2.3.2.tar.gz(r-4.6-arm64)humanleague_2.3.2.tar.gz(r-4.6-x86_64)
humanleague_2.3.2.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
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-methodscpp
Last updated from:9ff352db1e. Checks:11 NOTE, 2 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-arm64 | NOTE | 159 | ||
| linux-devel-x86_64 | NOTE | 140 | ||
| source / vignettes | OK | 183 | ||
| linux-release-arm64 | NOTE | 147 | ||
| linux-release-x86_64 | NOTE | 142 | ||
| macos-release-arm64 | NOTE | 125 | ||
| macos-release-x86_64 | NOTE | 584 | ||
| macos-oldrel-arm64 | NOTE | 138 | ||
| macos-oldrel-x86_64 | NOTE | 525 | ||
| windows-devel | NOTE | 130 | ||
| windows-release | NOTE | 120 | ||
| windows-oldrel | NOTE | 130 | ||
| wasm-release | OK | 116 |
Exports:flattenintegeriseipfprob2IntFreqqisqisisobolSequenceunitTest
Dependencies:Rcpp
