Package: humanleague 2.3.2

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>).

Authors:Andrew Smith [aut, cre], Steven Johnson [ctb], Massachusetts Institute of Technology [cph], John Burkhardt [ctb, cph], G Bhattacharjee [ctb]

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humanleague.pdf |humanleague.html✨
humanleague/json (API)

Peer review:

Bug tracker:https://github.com/virgesmith/humanleague/issues

On CRAN:

c-plus-plus-11microsynthesisnodejspython3quasirandomsampling-methods

8 exports 16 stars 2.06 score 1 dependencies 12 scripts 288 downloads

Last updated 5 months agofrom:12f9cb6c79. Checks:OK: 9. Indexed: yes.

Exports:flattenintegeriseipfprob2IntFreqqisqisisobolSequenceunitTest

Dependencies:Rcpp