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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 |
| Reference manual: | humanleague.pdf |
| 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, r-oldrel (x86_64): humanleague_2.3.1.tgz |
| Old sources: | humanleague archive |
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