This C++ version of BAT is still being maintained, but addition of new features is unlikely. Check out our new incarnation, BAT.jl, the Bayesian analysis toolkit in Julia. In addition to Metropolis-Hastings sampling, BAT.jl supports Hamiltonian Monte Carlo (HMC) with automatic differentiation, automatic prior-based parameter space transformations, and much more. See the BAT.jl documentation.
|Fits a function to the ratio of two histograms assuming binomial uncertainties
|Fits a function to a graph with Gaussian uncertainties
|Fits a function to histogram assuming Poisson uncertainties
|Fits a set of histograms (templates) to a data histogram
|Provides a collection of summary outputs for a model