Package: patterncausality 0.1.3

Hui Wang

patterncausality: Pattern Causality Algorithm

The model proposes a robust methodology for detecting and reconstructing the hidden structure of dynamic complex systems through short-term forecasts and information embedded in reconstructed state spaces. The approach not only identifies critical components and causal interactions within these systems but also provides a practical tool for optimizing system performance and stability.

Authors:Stavros Stavroglou [aut], Athanasios Pantelous [aut], Hui Wang [aut, cre]

patterncausality_0.1.3.tar.gz
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patterncausality.pdf |patterncausality.html
patterncausality/json (API)

# Install 'patterncausality' in R:
install.packages('patterncausality', repos = c('https://skstavroglou.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Bug tracker:https://github.com/skstavroglou/pattern_causality/issues

Datasets:

On CRAN:

5.35 score 1 stars 8 scripts 170 downloads 30 exports 3 dependencies

Last updated 7 days agofrom:1946a905db. Checks:OK: 1 NOTE: 6. Indexed: yes.

TargetResultDate
Doc / VignettesOKOct 30 2024
R-4.5-winNOTEOct 30 2024
R-4.5-linuxNOTEOct 30 2024
R-4.4-winNOTEOct 30 2024
R-4.4-macNOTEOct 30 2024
R-4.3-winNOTEOct 30 2024
R-4.3-macNOTEOct 30 2024

Exports:convertSignatureToValueconvertSignatureToValueOutOfSampledataBankdistanceMatrixdistanceVectorfillPCMatrixfirstCausalityPointfirstCausalityPointCHECKmetricDistancenatureOfCausalityoptimalParametersSearchpastNNsInfopastNNsInfo_LitepatternHashingpatternSpacepcAccuracypcCrossValidationpcEffectpcFullDetailspcLightweightpcMatrixplotCVplotEffectplotMatrixplotStatepredictionYprojectedNNsInfoprojectedNNsInfo_LitesignatureSpacestateSpace

Dependencies:corrplotmisc3dplot3D

Introduction to patterncausality

Rendered frompatterncausality.Rmdusingknitr::rmarkdownon Oct 30 2024.

Last update: 2024-08-24
Started: 2024-08-02

Pattern Causality between two series

Rendered fromseries.Rmdusingknitr::rmarkdownon Oct 30 2024.

Last update: 2024-09-24
Started: 2024-08-24

Pattern Causality in a large dataset

Rendered frommatrix.Rmdusingknitr::rmarkdownon Oct 30 2024.

Last update: 2024-08-25
Started: 2024-08-24

Readme and manuals

Help Manual

Help pageTopics
A data from IllapelAUCO
Climate indexclimate_indices
Convert Signature to Predicted ValuesconvertSignatureToValue
Convert Out-of-Sample Signature to Predicted ValuesconvertSignatureToValueOutOfSample
Data Bank Initialization FunctiondataBank
Compute Distance Matrix for an Embedded MatrixdistanceMatrix
Calculate Distances Between a Reference Point and Multiple CandidatesdistanceVector
Dow Jones stock priceDJS
Calculate and Record Causality StrengthsfillPCMatrix
First Causality Point FunctionfirstCausalityPoint
First Causality Point Check FunctionfirstCausalityPointCHECK
Calculate Generalized Minkowski Distance Between Two VectorsmetricDistance
Evaluate the Nature of Causality in Dynamic Complex SystemsnatureOfCausality
Optimal Parameters Search for Causality AnalysisoptimalParametersSearch
Finding Nearest Neighbors and Keeping their Topological InformationpastNNsInfo
Finding Nearest Neighbors and Keeping their Topological Information (Lite Version)pastNNsInfo_Lite
Pattern Hashing FunctionpatternHashing
Create Pattern Space from Signature MatrixpatternSpace
PC Accuracy Evaluation FunctionpcAccuracy
Pattern Causality Cross-ValidationpcCrossValidation
Calculate and Summarize Pattern Causality EffectspcEffect
Pattern Causality Mark II: Full DetailspcFullDetails
Pattern Causality Lightweight FunctionpcLightweight
Pattern Causality Matrix AnalysispcMatrix
Plot Cross-Validation Results for Pattern CausalityplotCV
Visualize Pattern Causality EffectsplotEffect
Visualize Pattern Causality MatrixplotMatrix
3D State Space Plot for Phase Space ReconstructionplotState
Predict Signature and Pattern VectorspredictionY
Projected Nearest Neighbors InformationprojectedNNsInfo
Projected Nearest Neighbors Information (Lite Version)projectedNNsInfo_Lite
Create Signature Space from Embedded MatrixsignatureSpace
Construct State Space Matrix from Time SeriesstateSpace