Comments (1)
The implementation for test purposes should be simple, but extensive. Furthermore, it should be possible to feed all possible models such that profiling becomes easier.
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Related Issues (20)
- [REFACTOR] Parametrization of the exchangeable Markov model
- [REFACTOR] Remove `lambda` parameter from `PoissonBernsteinFunction`
- [FEATURE] Add composition scaling class for Bernstein Functions
- [FEATURE] Add S4 methods to create `intensities`, `ex_intensities` and `qmatrix`
- [FEATURE] Allow pass-through of `integrate` arguments
- [BUG] Wrong implementation of validity methods HOT 1
- [BUG] Methods that use stats::integrate should check whether integration was successful HOT 1
- [FEAT] Implement `show` for `BernsteinFunction`-classes
- [FEAT] Modified Arnold model for the exchangeable subclass
- [BUG] `uniform_int_distribution` does not implement the C++ standard
- [REFACTOR] Rename sampling routines and classes HOT 1
- [REFACTOR] Introduce high-level sampling methods and make specific methods internal HOT 1
- [FEAT] Implement a `mdcm_expt_distribution`
- [FEAT] Bernstein function should have properties for `calcIterativeDifference` calculation
- [FEAT] Improve Bernstein Function representation HOT 1
- [FEAT] Implement binary operators for Bernstein function arithmetics
- [FEAT] Introduce `ConvexCombinationOfBernsteinFunctions` class
- [BUG] Numerical integration issues for extreme parameters HOT 1
- [REFACTOR] remove Bernstein function fuzzing from tests
- [BUG] continuous benchmarking feature has been retired
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