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>).

Version: 2.3.1
Imports: Rcpp (≥ 0.12.8)
LinkingTo: Rcpp
Suggests: testthat
Published: 2024-02-24
Author: Andrew Smith [aut, cre], Steven Johnson [ctb] (Sobol sequence generator implementation), Massachusetts Institute of Technology [cph] (Sobol sequence generator implementation), John Burkhardt [ctb, cph] (C++ implementation of incomplete gamma function), G Bhattacharjee [ctb] (Original FORTRAN implementation of incomplete gamma function)
Maintainer: Andrew Smith <andrew at friarswood.net>
License: MIT + file LICENCE
NeedsCompilation: yes
CRAN checks: humanleague results

Documentation:

Reference manual: humanleague.pdf

Downloads:

Package source: humanleague_2.3.1.tar.gz
Windows binaries: r-devel: humanleague_2.3.1.zip, r-release: humanleague_2.3.1.zip, r-oldrel: humanleague_2.3.1.zip
macOS binaries: r-release (arm64): humanleague_2.3.1.tgz, r-oldrel (arm64): humanleague_2.3.1.tgz, r-release (x86_64): humanleague_2.3.1.tgz
Old sources: humanleague archive

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