MCM2MCMC user manual : software implementing a Markov chain Monte Carlo algorithm for uncertainty evaluation based on the Monte Carlo method of Supplement 1 to the GUM

This report constitutes a user manual for software developed at the National Physical Laboratory to convert a sample from a Bayesian posterior distribution corresponding to a particular choice of prior distribution derived using the Monte Carlo method, to a Bayesian posterior corresponding to a preferred prior distribution. A Metropolis-Hastings Markov chain Monte Carlo algorithm is used to achieve this conversion.