Bayesicfitting

+ 31 Aug 2023 version 3.2.0
* The new class, PhantomCollection is part of NestedSampler. It contains a sorted
WalkerList, in which all valid positions are collected, proper walkers
and phantoms. Each iteration the phantoms with log likelihood lower than the
low limit for that iteration, are removed. The PhantomCollection is used
to get a better estimate on the size of the bounding box for the walkers and
to obtain starting positions for new walkers. In general the PhantomCollection
contains an order of magnitude more items than the WalkerList itself.
* NestedSampler has a new stopping criterion. It also stops when the log of the
relative contribution to the logZ (evidence) integral is less than -tolerance (=12).
* FootballModel: new class. Model to estimate strengths of football teams in
several key parameters.
* Address PhantomCollection and add **kwargs in all Engines
* Quadratic (in stead of linear) interpolation on edge in GalileanEngine
* Unnormalized Gauss prior changed into a normalized one
* Some documentation issues
* More dimensional arrays in LogFactorial
* __str__() method in NestedSolver and PhantomSampler
* Avoid numeric instabilities in sqrt in SampleList
* New tools in Tools
* More construction options in WalkerList
* New example: Uefa2022.ipynb
* New tests: TestPhantomCollection, TestFootballModel
* Adaptations in existing tests
* Reran all tests and examples

What's new.
+ 18 Jan 2023 version 3.1.1
* remode GaussPriorNew from __init__.py

What's new.
+ 18 Jan 2023 version 3.1.0 (still working on the same update)
* Implementing accuracy in fitters and samplers
* Update of documentation
* More tests

+ 19 Nov 2022 version 3.1.0
* Gauss2dErrorDistribution: New Class to handle correlated errors in X and Y
* ErrorDistribution and GaussErrorDistribution : adaptation for covariant errors.
* Small updates and corrections and removal of unused methods
* Added / corrected version information and documentation issues
* Rerun all examples and added tests

Addressing issue 18: UserModel does not work for multiple dimensions.

* New classes: AstropyModel and UserModel
* New class: NeuralNetUtilities
* New classes: NestedSolver, OrderProblem, SalesmanProblem, DistanceCostFunction
* New classes: OrderEngine, MoveEngine, SwitchEngine, LoopEngine, ShuffleEngine
* New classes: ReverseEngine, NearEngine, StartOrderEngine
* Make pipe work for more dimensional output | input
* Test harnesses for the new classes
* New examples for AstropyModel, UserModel and SalesmanProblem
* Update existing examples to improve coverage of pytest
* update Manual

Cleanup in Plotter
Documentation issues; Replaced style.md by code-style.md
Correcting error on Windows system