Metropolis Hastings -MCMC in R

MCMC is achieved by;

1)Starting at a random parameter value (old)

2)Choose a new parameter value which is close to the old value (current) based on some probability density and that is called future function (new)

3)hop to this new point with a probability  p(new)/p(old), where p is the target function, p>1.

https://github.com/florianhartig/LearningBayes/blob/master/CommentedCode/02-Samplers/MCMC/Convergence.md