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>).
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
2.3.2 |
rolling source/ R- | humanleague_2.3.2.tar.gz |
65.0 KiB |
2.3.2 |
rolling linux/jammy R-4.5 | humanleague_2.3.2.tar.gz |
265.8 KiB |
2.3.2 |
rolling linux/noble R-4.5 | humanleague_2.3.2.tar.gz |
282.0 KiB |
2.3.2 |
latest source/ R- | humanleague_2.3.2.tar.gz |
65.0 KiB |
2.3.2 |
latest linux/jammy R-4.5 | humanleague_2.3.2.tar.gz |
265.8 KiB |
2.3.2 |
latest linux/noble R-4.5 | humanleague_2.3.2.tar.gz |
282.0 KiB |
2.3.2 |
2026-04-26 source/ R- | humanleague_2.3.2.tar.gz |
65.0 KiB |
2.3.2 |
2026-04-23 source/ R- | humanleague_2.3.2.tar.gz |
65.0 KiB |
2.3.2 |
2026-04-09 windows/windows R-4.5 | humanleague_2.3.2.zip |
590.2 KiB |
2.3.2 |
2025-04-20 source/ R- | humanleague_2.3.2.tar.gz |
65.0 KiB |