Package: patterncausality 0.2.1

Hui Wang

patterncausality: Pattern Causality Algorithm

A comprehensive package for detecting and analyzing causal relationships in complex systems using pattern-based approaches. Key features include state space reconstruction, pattern identification, and causality strength evaluation.

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

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patterncausality.pdf |patterncausality.html✨
patterncausality/json (API)
NEWS

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

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

Datasets:

On CRAN:

Conda:

6.56 score 3 stars 20 scripts 314 downloads 19 exports 45 dependencies

Last updated 1 months agofrom:0d5489d8d8. Checks:1 OK, 8 NOTE. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKMar 17 2025
R-4.5-winNOTEMar 17 2025
R-4.5-macNOTEMar 17 2025
R-4.5-linuxNOTEMar 17 2025
R-4.4-winNOTEMar 17 2025
R-4.4-macNOTEMar 17 2025
R-4.4-linuxNOTEMar 17 2025
R-4.3-winNOTEMar 17 2025
R-4.3-macNOTEMar 17 2025

Exports:distanceMetricoptimalParametersSearchpc_cvpc_effectpc_matrixpc_paramspcAccuracypcCrossMatrixpcCrossValidationpcEffectpcFullDetailspcLightweightpcMatrixplot_causalityplot_componentsplot_totalstateSpacestateSpaceMethodvalidate_custom_fn_output

Dependencies:clicolorspacecpp11dplyrfansifarvergenericsggplot2ggrepelggthemesgluegridExtragtableisobandlabelinglatticelifecyclemagrittrMASSMatrixmgcvmisc3dmunsellnlmepillarpkgconfigplot3DplyrpurrrR6RColorBrewerRcppreshape2rlangscalesstatebinsstringistringrtibbletidyrtidyselectutf8vctrsviridisLitewithr

Advanced Pattern Causality: Custom Functions for Tailored Analysis

Stavros Stavroglou, Athanasios Pantelous, Hui Wang

Rendered fromadvanced.Rmdusingknitr::rmarkdownon Mar 17 2025.

Last update: 2024-12-16
Started: 2024-12-16

Dynamic Analysis: Pattern Causality in Time Points

Stavros Stavroglou, Athanasios Pantelous, Hui Wang

Rendered fromdynamic.Rmdusingknitr::rmarkdownon Mar 17 2025.

Last update: 2024-12-16
Started: 2024-12-16

Exploring Pattern Causality: An Intuitive Guide

Stavros Stavroglou, Athanasios Pantelous, Hui Wang

Rendered frompatterncausality.Rmdusingknitr::rmarkdownon Mar 17 2025.

Last update: 2025-02-15
Started: 2024-08-02

Multiple Series Pattern Causality Analysis: Unveiling System-Wide Interactions

Stavros Stavroglou, Athanasios Pantelous, Hui Wang

Rendered frommatrix.Rmdusingknitr::rmarkdownon Mar 17 2025.

Last update: 2024-12-17
Started: 2024-08-24

Parallel Computing in Pattern Causality Analysis

Stavros Stavroglou, Athanasios Pantelous, Hui Wang

Rendered fromparallel.Rmdusingknitr::rmarkdownon Mar 17 2025.

Last update: 2025-01-04
Started: 2025-01-03

Unveiling Causal Relationships in Time Series Data

Stavros Stavroglou, Athanasios Pantelous, Hui Wang

Rendered fromseries.Rmdusingknitr::rmarkdownon Mar 17 2025.

Last update: 2025-01-10
Started: 2024-08-24

Readme and manuals

Help Manual

Help pageTopics
Illapel Ecological DatasetAUCO
Climate Indices Datasetclimate_indices
Distance Metric InterfacedistanceMetric distanceMetric.custom distanceMetric.default
Dow Jones Stock Price DatasetDJS
Search for Optimal Parameters in Pattern Causality AnalysisoptimalParametersSearch
Pattern Causality Cross-Validation Objectpc_cv
Pattern Causality Effect Objectpc_effect
Pattern Causality Matrix Objectpc_matrix
Pattern Causality Parameter Optimization Resultspc_params
Calculate Pattern Causality AccuracypcAccuracy
Cross Pattern Causality Matrix AnalysispcCrossMatrix
Pattern Causality Cross-Validation AnalysispcCrossValidation
Pattern Causality Effect AnalysispcEffect
Calculate Full Details Pattern Causality AnalysispcFullDetails
Calculate Pattern Causality Using Lightweight AlgorithmpcLightweight
Pattern Causality Matrix AnalysispcMatrix
Plot Pattern Causality Time Seriesplot_causality
Plot Pattern Causality Time Seriesplot_causality.pc_full_details
Plot Pattern Causality Componentsplot_components
Plot Causality Componentsplot_components.pc_fit
Plot Total Pattern Causalityplot_total
Plot Total Causalityplot_total.pc_fit
Plot Pattern Causality Cross Validation Resultsplot.pc_cv
Plot Pattern Causality Effectplot.pc_effect
Plot Pattern Causality Resultsplot.pc_fit
Plot Pattern Causality Matrixplot.pc_matrix
Plot State Space Reconstructionplot.pc_state
Print Method for Pattern Causality Accuracy Resultsprint.pc_accuracy
Print Pattern Causality Cross Validation Resultsprint.pc_cv
Print Pattern Causality Effectprint.pc_effect
Print Pattern Causality Resultsprint.pc_fit
Print Pattern Causality Matrixprint.pc_matrix
Print Method for Pattern Causality Parameter Resultsprint.pc_params
Print State Space Reconstructionprint.pc_state
Print Method for Pattern Causality Accuracy Summaryprint.summary.pc_accuracy
State Space ReconstructionstateSpace
State Space Reconstruction InterfacestateSpaceMethod stateSpaceMethod.custom stateSpaceMethod.default
Summary Method for Pattern Causality Accuracy Resultssummary.pc_accuracy
Summary of Pattern Causality Cross Validation Resultssummary.pc_cv
Summarize Pattern Causality Effectsummary.pc_effect
Summarize Pattern Causality Resultssummary.pc_fit
Summarize Pattern Causality Matrixsummary.pc_matrix
Summary Method for Pattern Causality Parameter Resultssummary.pc_params
Summarize State Space Reconstructionsummary.pc_state
Validate Custom Function Output for Pattern Causality Analysisvalidate_custom_fn_output