ComplexityMeasures.jl
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Estimators for probabilities, entropies, and other complexity measures derived from observations in the context of nonlinear dynamics and complex systems
## Describe the feature you'd like to have Probabilities for multivariate permutation entropy is now computed by doing `probabilities(SymbolicPermutation(), x::AbstractDataset{D})`. This works by simply finding the permutation patterns for each...
**Describe the feature you'd like to have** The `Diversity` estimator currently only accepts time series inputs. It would be nice if it also accepts multivariate input data. Then `Diversity` estimator...
When determining bin visitations for the estimation of the rectangular transfer operator, the bins are sorted after order of first appearance according to the input `pts`. If first sorting the...
Simply excluding the last point if it is outside the triangulation might lead to a cascade of loosing points if there is little data.
Straightforward, but effective!
## Describe the feature you'd like to have In #182 the `Kaniadakis` entropy was introduced. However, the book which gives the formula doesn't state for which discrete probability distribution it...
As discussed in #133. We only need to *start* the tables. More methods will be added as they are added from the literature. - [ ] Entropies. - [x] Multi-scale...
Documentation from Entropies.jl was never "publicly announced". Anything there is weighting down on the git size of this repo. We should reset the `gh-pages` branch just before tagging 2.0. Furthermore,...
The power spectrum estimator will yield rather uncoverged results for small timeseries of regular signals, due to the noise induced by the FOurier transform affecting the signal a lot. We...
## Describe the feature you'd like to have With #132, we'll have a nice interface for computing *any* multiscale entropy or complexity measure of a timeseries `x`, as long as...