Starting work on RJMCMC Sampler
Adding PALInferenceRJMCMC.py
Adding jitter parameter that is free variable for every epoch. Way of
spotting outliers
Made PALInferencePTMCMC more modular. On way to getting a working
generic RJMCMC based on PTMCMC sampler.
Almost finished beta version of RJMCMC sampler
Working version of RJMCMC. Need to clean things up a bit eventually.
Testing now...
Added small change to fix memory problem with H0
Added a few more tweaks to RJMCMC. Definitely chooses correct model.
Running tests now to check convergence
Now writes out file with adaptive odds ratio values for each model.
Added back in exception catching for cholesky inversion failure. Falls
back to svd. Don't know why this was causing problems.
Adding adaptive gaussian KDE jumps based on previous samples in chain to
PTMCMC
Further tweaks to gaussian KDE jumps
Added a few tweaks to GWB simulation
Added option to PTMCMC to end run when some effective number of samples
has been reached
Removed relative import for nompi4py
Added option to specify turnover frequency and slope to GWB simulation
Fixed bug with obervation times in PALdatafile
Added option to make spectrum turnover more abrupt in simulations of GWB
slight tweaks to PTMCMC
Adding bayestar for skymap plotting