pint.mcmc_fitter

Markov Chain Monte Carlo fitting.

Functions

concat_toas(toas)	Concatenate a list of TOAs objects into a single TOAs object
lnlikelihood_basic(ftr, theta)	The log of the likelihood function, basic implementation.
lnlikelihood_chi2(ftr, theta)
lnprior_basic(ftr, theta)	Basic implementation of log prior.
set_priors_basic(ftr[, priorerrfact])	Basic method to set priors on parameters in the model.

Classes

CompositeMCMCFitter(toas, model, sampler, ...)	A subclass of MCMCFitter, designed to work on composite datasets
MCMCFitter(toas, model, sampler, **kwargs)	A class for Markov-Chain Monte Carlo optimization style-fitting
MCMCFitterAnalyticTemplate(toas, model, ...)	A subclass of MCMCFitter, designed to use an analytic template rather than a binned one that uses interpolation.
MCMCFitterBinnedTemplate(toas, model, ...)	A subclass of MCMCFitter, designed to use a binned template with interpolation instead of an analytic function