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: 2.0.2
Imports: Rcpp (≥ 0.12.8), curl
LinkingTo: Rcpp
Suggests: testthat
Published: 2017-12-14
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 <a.p.smith at leeds.ac.uk>
License: MIT + file LICENCE
NeedsCompilation: yes
Materials: README
CRAN checks: humanleague results

Downloads:

Reference manual: humanleague.pdf
Package source: humanleague_2.0.2.tar.gz
Windows binaries: r-devel: humanleague_2.0.2.zip, r-release: humanleague_2.0.2.zip, r-oldrel: humanleague_2.0.2.zip
OS X binaries: r-release: humanleague_2.0.2.tgz, r-oldrel: humanleague_2.0.2.tgz

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