hipIndexRandomPermutation

internal

Encapsulates a number of spatially balanced sampling algorithms,
namely, Balanced Acceptance Sampling (equal, unequal, seed point, panels), Halton frames
(for discretizing a continuous resource), Halton Iterative Partitioning (equal probability)
and Simple Random Sampling.
Robertson, B. L., Brown, J. A., McDonald, T. and Jaksons, P. (2013) <doi:10.1111/biom.12059>.
Robertson, B. L., McDonald, T., Price, C. J. and Brown, J. A. (2017) <doi:10.1016/j.spl.2017.05.004>.
Robertson, B. L., McDonald, T., Price, C. J. and Brown, J. A. (2018) <doi:10.1007/s10651-018-0406-6>.
Robertson, B. L., van Dam-Bates, P. and Gansell, O. (2021a) <doi:10.1007/s10651-020-00481-1>.
Robertson, B. L., Davies, P., Gansell, O., van Dam-Bates, P., McDonald, T. (2025) <doi:10.1111/anzs.12435>.

Phil Davies

spbal

Spatially Balanced Sampling Algorithms

Blair Robertson

Paul van Dam-Bates

Oliver Gansell

hipIndexRandomPermutation function

<dl><dt>its</dt>
<dd>The number of partitioning iterations.</dd></dl>

Arguments

Author

Permute Halton indices. — hipIndexRandomPermutation

<dl>

<dt>its</dt>
<dd>The number of partitioning iterations.</dd>

</dl>

Permute Halton indices.

hipIndexRandomPermutation: Permute Halton indices.

Description

Usage

Value

Arguments

Author