+ 6 Nov 2020 versions 2.6.1 * Avoid infinities in unbound Priors * mcycles in initialization of MonteCarlo * convert xdata, ydata, weights using numpy.asarray
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
2.5.3
Averaging of circular variables Update of static class attributes
2.5.2
Two more bugs smashed (in StartEngine and Prior)
2.5.1
Comment out NeuralNetModel in the __init__.py as it is not yet available Some typos.
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