Version 2.7.2

20 April 2021 version 2.7.2

• put some tests on hold
• few minor issues/errors

Version 2.7.1

Remove CrossEngine completely. It was still in BayesicFitting/init.py while the actual file CrossEngine.py was already removed because it was not functioning very effectively.

version 2.7.0

18 Feb 2021 version 2.7.0

• New class: EvidenceProblem & ModelDistribution; adaptations in NestedSampler and tests.
• Change in constrain method definition
• decay in ExpModel
• some seldom errors, clean-up & new test harnesses.

Version 2.6.2

• 11 Dec 2020 versions 2.6.2
  • Add limits and circular to Priors
  • Finetune Engines

Version 2.6.1

• 6 Nov 2020 versions 2.6.1
  • Avoid infinities in unbound Priors
  • mcycles in initialization of MonteCarlo
  • convert xdata, ydata, weights using numpy.asarray

Version 2.6.0

What's new in versions 2.6.0

• New class: PhantomSampler; adaptations in Engines, Explorer, WalkerList
• Restructured NestedSampler to accommodate PhantomSampler
• Test harnass for PhantomSampler
• Option: fix parameters in BasicSplinesModel
• Confusing str method in compound models improved

Version 2.5.3

Averaging of circular variables
Update of static class attributes

Version 2.5.2

Two more bugs smashed (in StartEngine and Prior)

Version 2.5.1

Comment out NeuralNetModel in the init.py as it is not yet available
Some typos.

Version 2.5.0

What's new in versions 2.5.0

• New models: BasicSplinesModel and SplinesDynamicModel
• Option for constraints on the likelihood
• Option for slow engines (working every slow-th iteration in NestedSampler)
• Restructure growPrior setting
• Print formatting in NestedSampler
• Adapt to SplinesDynamicModel
• Homogenized and improved plotoptions in test harnesses
• Three more examples added