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>).

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Description file content

Package
humanleague
Type
Package
Title
Synthetic Population Generator
Version
2.1.0
Description
Generates high-entropy integer synthetic populations from marginal and (optionally) seed data using quasirandom sampling, in arbitrary dimensionality (Smith, Lovelace and Birkin (2017) ). The package also provides an implementation of the Iterative Proportional Fitting (IPF) algorithm (Zaloznik (2011) ).
License
MIT + file LICENCE
Encoding
UTF-8
LazyData
true
Imports
Rcpp (>= 0.12.8)
LinkingTo
Rcpp
RoxygenNote
6.0.1
Suggests
testthat
NeedsCompilation
yes
Packaged
2018-12-05 09:27:47 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
Repository
CRAN
Date/Publication
2018-12-05 11:40:03 UTC

install.packages('humanleague')

2.1.0

4 days ago

Andrew Smith

MIT + file LICENCE

Imports

Rcpp (>= 0.12.8)

Suggests

testthat

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