Package: humanleague 2.3.2

Andrew Smith

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:Andrew Smith [aut, cre], Steven Johnson [ctb], Massachusetts Institute of Technology [cph], John Burkhardt [ctb, cph], G Bhattacharjee [ctb]

humanleague_2.3.2.tar.gz
humanleague_2.3.2.tar.gz(r-4.5-noble)humanleague_2.3.2.tar.gz(r-4.4-noble)
humanleague_2.3.2.tgz(r-4.4-emscripten)humanleague_2.3.2.tgz(r-4.3-emscripten)
humanleague.pdf |humanleague.html✨
humanleague/json (API)

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

Peer review:

Uses libs:
  • c++– GNU Standard C++ Library v3

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

1.38 score 12 scripts 252 downloads 8 exports 1 dependencies

Last updated 6 days agofrom:373b748da9. Checks:OK: 2. Indexed: no.

TargetResultDate
Doc / VignettesOKOct 24 2024
R-4.5-linux-x86_64OKOct 24 2024

Exports:flattenintegeriseipfprob2IntFreqqisqisisobolSequenceunitTest

Dependencies:Rcpp