xsample(): an R Function for Sampling Linear Inverse Problems


The R function xsample() uses Markov Chain Monte Carlo (MCMC) algorithms to uniformly sample the feasible region of constrained linear problems. It contains two hit-and-run sampling algorithms, together with a “mirror” algorithm where an MCMC step reflects on the inequality constraints. 


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