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 adde
Version Updates 3.4.1 Add argument conf to set_optim_bayes(). Enable global grid expansion and tuni...
What's new in versions 2.4.4 Moved BayesicFitting/BayesicFitting/documentation to BayesicFitting/do...
Description The BayesFactor package is a suite of functions for computing various Bayes fac-tors for...
What's new in versions 2.6.0 New class: PhantomSampler; adaptations in Engines, Explorer, WalkerLis...
18 Feb 2021 version 2.7.0 New class: EvidenceProblem & ModelDistribution; adaptations in NestedSamp...
29 Oct 2021 version 2.8.0 New class: BernoulliErrorDistribution and SoftMaxModel, tests, examples an...
BayesicFitting is a PYTHON toolbox for (Bayesian) data modelling and evidence calculation. It consis...
What's new in versions 2.4.3 Clean up and unification of the python doc strings. Reran all examples...
New classes: AstropyModel and UserModel New class: NeuralNetUtilities New classes: NestedSolver, Ord...
What's new. 18 Jan 2023 version 3.1.0 (still working on the same update) Implementing accuracy in ...
31 Aug 2023 version 3.2.0 The new class, PhantomCollection is part of NestedSampler. It contains a s...
* New Classes: - DecisionTreeModel A DecisionTree Model (DTM) is mostly defined on mult...
6 Nov 2020 versions 2.6.1 Avoid infinities in unbound Priors mcycles in initialization of MonteCarlo...
Changes Improved speed performance when functions are called using do.call(). Improved speed perfo...
This release has major improvements on the modeling of spectral features, with a severe revision of ...
Version Updates 3.4.1 Add argument conf to set_optim_bayes(). Enable global grid expansion and tuni...
What's new in versions 2.4.4 Moved BayesicFitting/BayesicFitting/documentation to BayesicFitting/do...
Description The BayesFactor package is a suite of functions for computing various Bayes fac-tors for...
What's new in versions 2.6.0 New class: PhantomSampler; adaptations in Engines, Explorer, WalkerLis...
18 Feb 2021 version 2.7.0 New class: EvidenceProblem & ModelDistribution; adaptations in NestedSamp...
29 Oct 2021 version 2.8.0 New class: BernoulliErrorDistribution and SoftMaxModel, tests, examples an...
BayesicFitting is a PYTHON toolbox for (Bayesian) data modelling and evidence calculation. It consis...
What's new in versions 2.4.3 Clean up and unification of the python doc strings. Reran all examples...
New classes: AstropyModel and UserModel New class: NeuralNetUtilities New classes: NestedSolver, Ord...
What's new. 18 Jan 2023 version 3.1.0 (still working on the same update) Implementing accuracy in ...
31 Aug 2023 version 3.2.0 The new class, PhantomCollection is part of NestedSampler. It contains a s...
* New Classes: - DecisionTreeModel A DecisionTree Model (DTM) is mostly defined on mult...
6 Nov 2020 versions 2.6.1 Avoid infinities in unbound Priors mcycles in initialization of MonteCarlo...
Changes Improved speed performance when functions are called using do.call(). Improved speed perfo...
This release has major improvements on the modeling of spectral features, with a severe revision of ...
Version Updates 3.4.1 Add argument conf to set_optim_bayes(). Enable global grid expansion and tuni...
What's new in versions 2.4.4 Moved BayesicFitting/BayesicFitting/documentation to BayesicFitting/do...
Description The BayesFactor package is a suite of functions for computing various Bayes fac-tors for...
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