CppLHS {clhs} R Documentation

## 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

### Description

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

### Arguments

 xA matrix of data - must be numeric (factors are converted to numeric in R) cost cost vector (0 if no cost) strata matrix of continuous strata include matrix of included data idx integer vector of rows from which sampling is allowed factors boolean factor flag i_fact indices of factors in xA nsample number of samples cost_mode bool cost flag iter number of iterations wCont continuous weight wFact factor weights wCorr correlation weights etaMat eta matrix - either all 1, or user input temperature initial temperature tdecrease temperature decrease every length_cycle iterations length_cycle number of iterations between temperature decrease

### Value

list with sampled data, indices, objective values, cost value, and final continuous weights for each sample

[Package clhs version 0.9.0 Index]