clhs (version 0.4-3)

clhs-package: Conditioned Latin Hypercube Sampling

Description

This package implements the conditioned Latin hypercube sampling, as published by Minasny and McBratney (2006). This method proposes to stratify sampling in presence of ancillary data.

References

Minasny, B. and McBratney, A.B. 2006. A conditioned Latin hypercube method for sampling in the presence of ancillary information. Computers and Geosciences, 32:1378-1388.

See Also

sample

Examples

df <- data.frame(a = runif(1000), b = rnorm(1000), c = sample(LETTERS[1:5], size = 1000, replace = TRUE))
res <- clhs(df, size = 50, iter = 2000, progress = FALSE)
str(res)