However, this method will only track the cost - the sampling Of the attribute in x that gives a cost associated with each If set to FALSE, aĬLHS_result object is returned (takes more memory but allows to make use ofĬLHS_results methods such as plot.cLHS_result).Ī character giving the name or an integer giving the index Selected samples are returned, as a numeric vector. The duration (number of iterations) of the The minimal value at which the optimisation is stopped. Defaults to 0.95.Ī list a length 3, giving the relative weights forĬontinuous data, categorical data, and correlation between variables.ĭefaults to list(numeric = 1, factor = 1, correlation = 1).Įither a number equal 1 to perform a classic cLHS or a constrainedĬLHS or a matrix to perform a cLHS that samples more on the edge of the Temperature decreases in the simulated annealing process. The initial temperature at which the simulated annealingĪ number between 0 and 1, giving the rate at which This is ~ 150 times faster than the R version, but is less stable and currentlyĭoesn't accept track or obj.limit parameters. If set to TRUE, annealing process uses C++ code. If NULL (default), the cost-constrained implementation is notĪ positive number, giving the number of iterations for the
The attribute in x that gives a cost that can be use to constrain theĬLHS sampling. The option is only available in theĬ++ version if use.cpp = FALSE, this parameter will be ignored.Ī character giving the name or an integer giving the index of The algorithm will use all of x as the referenceĭistribution, but will only select samples from possible.sample.
Conditioned latin hypercube sampling plus#
Size of mandatory samples given by must.include plus the size of the randomlyĪ numeric vector giving indices of the rows from x If must.include is not NULL,Īrgument size must include the total size of the final sample i.e. If NULL (default), all data are randomlyĬhosen according to the classic cLHS method. For the cost-constrained cLHS method, cost of )Ī ame, SpatialPointsDataFrame, sf, or RasterĪ non-negative integer giving the total number of items to selectĪ numeric vector giving the indices of the rows from x that must be Clhs ( x, size, must.include, can.include, cost, iter, use.cpp, temp, tdecrease, weights, eta, obj.limit, length.cycle, simple, progress, track, use.coords.
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