R scripts for Hamiltonian Monte Carlo and Coalescence Towards Perfect Simulation of General Continuous Distributions

R scripts to accompany the publication listed below. The methodology and results demonstrate for the first time the feasibility of coalescence and near-perfect simulation for fairly general continuous distributions. This constitutes a quantum leap in MCMC convergence testing by decoupling the convergence error from experimental error and providing, for a given set of starting points, an exact number of iterations in which coalescence occurs.