Minimum Energy Designs

This is a method (MinED) for mining probability distributions using deterministic sampling which is proposed by Joseph, Wang, Gu, Lv, and Tuo (2018). The MinED samples can be used for approximating the target distribution. They can be generated from a density function that is known only up to a proportionality constant and thus, it might find applications in Bayesian computation. Moreover, the MinED samples are generated with much fewer evaluations of the density function compared to random sampling-based methods such as MCMC and therefore, this method will be especially useful when the unnormalized posterior is expensive or time consuming to evaluate.


Reference manual

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1.0-2 by Dianpeng Wang, 2 years ago

Browse source code at

Authors: Dianpeng Wang and V. Roshan Joseph

Documentation:   PDF Manual  

LGPL-2.1 license

Imports Rcpp

Linking to Rcpp, RcppEigen

See at CRAN