clhs

cranv0.9.2

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 du

License GPL (>= 2)0 versions1 maintainers10 deps211 weekly dl
pierreroudier/clhs/
40
/ 100
Health
safe to use

[email protected] is safe to use (health: 40/100)

Health breakdown0 – 100
10/25
maintenance
3/20
popularity
25/25
security
0/15
maturity
2/15
community
Vulnerabilities
0
none known
⚠ Possible typosquat
Name is close to a popular package. Targets:
cli (close_name dist 2)clue (adjacent_swap_or_double dist 2)

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First published · 2025-10-20 05:52:45

Last updated · 2025-10-20T04:10:35+00:00

clhs — Health Score 40/100 | DepScope