yumcee

yumcee, is a very basic, working,  MPI based- Monte-Carlo sampler and a set of tools for barrying out Bayesian parameter estimation. 

It is implemented in python using MPI for parallelism, and thus scalable to large systems. 

It consists of:

1. A markov chain Monte-Carlo (MCMC) sampler.

2. A nested Monte-Carlo sampler (in works).

3. Tools for parameter-estimation.

   1. Retreiving the statistical properties of the posteriors from the chains: 

      1. mean/mode.

      2. standard deviation.

   2. Plotting the posteriors.

4. Miscellaneous tools

   1. Saving the chains, results to the disk.