Conditioned Latin Hypercube Sampling

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Documentation for package ‘clhs’ version 0.9.0

• DESCRIPTION file.
• User guides, package vignettes and other documentation.
• Package NEWS.

Help Pages

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