Package: humanleague
Type: Package
Title: Synthetic Population Generator
Version: 2.1.2
Description: 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@R: c(
  person("Andrew", "Smith", email="andrew@friarswood.net", role=c("aut", "cre")),
  person("Steven", "Johnson", role=c("ctb"), comment="Sobol sequence generator implementation"),
  person("Massachusetts Institute of Technology", role=c("cph"), comment="Sobol sequence generator implementation"),
  person("John", "Burkhardt", role=c("ctb","cph"), comment="C++ implementation of incomplete gamma function"),
  person("G", "Bhattacharjee", role=c("ctb"), comment="Original FORTRAN implementation of incomplete gamma function"))
License: MIT + file LICENCE
Encoding: UTF-8
LazyData: true
Imports: Rcpp (>= 0.12.8)
LinkingTo: Rcpp
RoxygenNote: 7.0.2
Suggests: testthat
NeedsCompilation: yes
Packaged: 2020-02-14 13:44:22 UTC; az
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@friarswood.net>
Repository: CRAN
Date/Publication: 2020-02-14 15:10:02 UTC
Built: R 4.1.0; x86_64-w64-mingw32; 2020-08-03 05:05:39 UTC; windows
Archs: i386, x64
