R: Conditioned Latin Hypercube Sampling

# Conditioned Latin Hypercube Sampling

## Documentation for package ‘clhs’ version 0.9.2

- DESCRIPTION file
- User guides, package vignettes and other documentation
- Package NEWS
- Package README

## 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