Conditioned Latin Hypercube Sampling


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Documentation for package ‘clhs’ version 0.9.0

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clhs-package Conditioned Latin Hypercube Sampling
clhs Conditioned Latin Hypercube Sampling
clhs.data.frame Conditioned Latin Hypercube Sampling
clhs.Raster Conditioned Latin Hypercube Sampling
clhs.sf Conditioned Latin Hypercube Sampling
clhs.SpatialPointsDataFrame Conditioned Latin Hypercube Sampling
cLHS_result Conditioned Latin Hypercube Sampling result
CppLHS This is the internal Cpp function used to run the metropolis hasting algorithm if use.cpp = T. In general, it shouldn't be used as a stand alone function, because some preprocessing is done in R
plot.cLHS_result Plot cLHS results
similarity_buffer Gower similarity analysis