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: |
2.1.8 |
| Imports: |
Rcpp (≥ 0.12.8) |
| LinkingTo: |
Rcpp |
| Suggests: |
testthat |
| Published: |
2021-01-26 |
| 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:
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