v1.1.0

• Likelihood sum wrapper (#17)
• emcee bestfit and multicore precomputation (#18)
• LogAncillaryLikelihood for constraint terms (#19)
• HistogramPDFSource simulation, order shape parameter dict (#20)
• Efficiency shape parameter, LogLikelihoodSum enhancements (#23)
• Use scipy as default optimizer (#24)
• Minuit support for bounds and errors (#26, #27)
• Per-source efficiencies, weighted LogLikelihoodSum (#28)
• Use atomicwrites for cache to prevent race conditions (#30)