JuliaDynamics / JuliaDynamics/RecurrenceMicrostatesAnalysis.jl
New estimator: recurrence measure of conditional dependence
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- Dominant language
- Julia
- Stars
- 5
- Forks
- 0
- PR merge metrics
- No merged PRs in 30d
Description
Describe the feature you'd like to have
Probably we can estimate recurrence measure of conditional dependence (RMCD) using RMA.
Cite scientific papers related to the feature/algorithm
Recurrence measure of conditional dependence and applications, Phys. Rev. E 95, 052206 (2017), doi: 10.1103/PhysRevE.95.052206
Detecting causality in coupled systems using recurrence analysis and maximum entropy principle, Phys. A 697, 131707 (2026), doi: 10.1016/j.physa.2026.131707
If possible, sketch out an implementation strategy
Maybe, can we use the Associations.jl here?
Contributor guide
First steps
- Read the whole issue, then the project's contributing guide.
- Comment on the issue to say you are picking it up — it saves two people doing the same work.
- Fork the repository and make your change on a branch.
- Open a pull request that references the issue number.
Research direction
No source file, test, or entry point is specified. Start by reading the cited papers and evaluating whether Associations.jl supports the proposed RMCD estimator; done means adding a defined, tested recurrence measure of conditional dependence to the package.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- julia
- Domain
- data
- Issue type
- Feature
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Quiet
- Clarity
- Needs clarification
- Newbie friendliness
- 35/100