clhs
Conditioned Latin Hypercube Sampling
Conditioned Latin hypercube sampling, as published by Minasny and McBratney (2006) <DOI:10.1016/j.cageo.2005.12.009>. This method proposes to stratify sampling in presence of ancillary data. An extension of this method, which propose to associate a cost to each individual and take it into account during the optimisation process, is also proposed (Roudier et al., 2012, <DOI:10.1201/b12728>).
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
0.9.2 |
rolling linux/jammy R-4.5 | clhs_0.9.2.tar.gz |
496.3 KiB |
0.9.2 |
rolling linux/noble R-4.5 | clhs_0.9.2.tar.gz |
496.0 KiB |
0.9.2 |
rolling source/ R- | clhs_0.9.2.tar.gz |
845.3 KiB |
0.9.2 |
latest linux/jammy R-4.5 | clhs_0.9.2.tar.gz |
496.3 KiB |
0.9.2 |
latest linux/noble R-4.5 | clhs_0.9.2.tar.gz |
496.0 KiB |
0.9.2 |
latest source/ R- | clhs_0.9.2.tar.gz |
845.3 KiB |
0.9.2 |
2026-04-26 source/ R- | clhs_0.9.2.tar.gz |
845.3 KiB |
0.9.2 |
2026-04-23 source/ R- | clhs_0.9.2.tar.gz |
845.3 KiB |
0.9.2 |
2026-04-09 windows/windows R-4.5 | clhs_0.9.2.zip |
816.2 KiB |
0.9.0 |
2025-04-20 source/ R- | clhs_0.9.0.tar.gz |
658.5 KiB |