Draw a (random) Latin Hypercube (LH) sample of size
n from in
the region outlined by the provided rectangle
Size of the LH sample
Rectangle describing the domain from which the LH sample
is to be taken. The rectangle should be a
Optional vector of shape parameters for the Beta distribution.
Vector of length equal to the dimension of the domain, with elements > 1.
If this is specified, the LH sample is proportional to a joint pdf formed by
independent Beta distributions in each dimension of the domain,
scaled and shifted to have support defined by
Optional vector of mode values for the Beta distribution.
Vector of length equal to the dimension of the domain, with elements within
the support defined by
The output is a
n rows and
nrow(rect) columns. Each of the
n rows represents
a sample point.
The domain bounds specified by the rows of
be specified backwards with no change in effect.
Gramacy, R. B. (2020) Surrogates: Gaussian Process Modeling, Design and Optimization for the Applied Sciences. Boca Raton, Florida: Chapman Hall/CRC. (See Chapter 4.) https://bobby.gramacy.com/surrogates/
McKay, M. D., W. J. Conover and R. J. Beckman. (1979). A Comparison of Three Methods for Selecting Values of Input Variables in the Analysis of Output from a Computer Code, Technometrics 21: (pp. 239–245).
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