{ "_id": "6a1ef8bcb401979e73417e2a", "Package": "patterncausality", "Type": "Package", "Title": "Pattern Causality Algorithm", "Version": "0.2.4", "Authors@R": "c( person(\"Stavros\", \"Stavroglou\", role = c(\"aut\", \"cre\"),\nemail = \"stavros.k.stavroglou@gmail.com\",\ncomment = c(ORCID = \"0000-0003-3931-0391\")),\nperson(\"Athanasios\", \"Pantelous\", role = c(\"aut\"),\nemail = \"Athanasios.Pantelous@monash.edu\",\ncomment = c(ORCID = \"0000-0001-5738-1471\")),\nperson(\"Hui\", \"Wang\", role = c(\"aut\"),\nemail = \"huiw1128@gmail.com\",\ncomment = c(ORCID = \"0009-0006-0095-0243\")))", "Description": "A comprehensive package for detecting and analyzing causal\nrelationships in complex systems using pattern-based\napproaches. Key features include state space reconstruction,\npattern identification, and causality strength evaluation.", "License": "GPL-3 | file LICENSE", "Encoding": "UTF-8", "LazyData": "true", "Roxygen": "list(markdown = TRUE)", "Config/Needs/website": "tidyverse/tidytemplate", "URL": "https://github.com/pattern-causality/pattern_causality/", "BugReports": "https://github.com/pattern-causality/pattern_causality/issues", "Config/testthat/edition": "3", "RoxygenNote": "7.3.2", "VignetteBuilder": "knitr", "Config/pak/sysreqs": "libicu-dev", "Repository": "https://pattern-causality.r-universe.dev", "Date/Publication": "2026-03-18 19:25:04 UTC", "RemoteUrl": "https://github.com/pattern-causality/pattern_causality", "RemoteRef": "HEAD", "RemoteSha": "9763e0941814e2ca14e54fb1f8d7ee1bf180018e", "NeedsCompilation": "no", "Packaged": { "Date": "2026-05-19 05:56:47 UTC", "User": "root" }, "Author": "Stavros Stavroglou [aut, cre] (ORCID:\n),\nAthanasios Pantelous [aut] (ORCID:\n),\nHui Wang [aut] (ORCID: )", "Maintainer": "Stavros Stavroglou ", "MD5sum": "8e4790601266e1b4d6de4738704e8463", "_user": "pattern-causality", "_type": "src", "_file": "patterncausality_0.2.4.tar.gz", "_fileid": "b880931949926ceb5afcb506a9494bfa81f3585e2368ef4f78b8c88eb9354f16", "_filesize": 4054286, "_sha256": "b880931949926ceb5afcb506a9494bfa81f3585e2368ef4f78b8c88eb9354f16", "_created": "2026-05-19T05:56:47.000Z", "_published": "2026-06-02T15:37:32.417Z", "_distro": "noble", "_jobs": [ { "job": 79109995736, "time": 170, "config": "linux-devel-x86_64", "r": "4.7.0", "check": "OK", "artifact": "7075955635" }, { "job": 79109996154, "time": 160, "config": "linux-release-x86_64", "r": "4.6.0", "check": "OK", "artifact": "7075953630" }, { "job": 79109996294, "time": 235, "config": "macos-oldrel-arm64", "r": "4.5.3", "check": "OK", "artifact": "7075960922" }, { "job": 79109995921, "time": 148, "config": "macos-release-arm64", "r": "4.6.0", "check": "OK", "artifact": "7075945276" }, { "job": 79109995864, "time": 248, "config": "source", "r": "4.6.0", "check": "OK", "artifact": "7075915282" }, { "job": 79109995180, "time": 121, "config": "wasm-release", "r": "4.6.0", "check": "OK", "artifact": "7362486709" }, { "job": 79109996190, "time": 113, "config": "windows-devel", "r": "4.7.0", "check": "OK", "artifact": "7075942027" }, { "job": 79109996687, "time": 135, "config": "windows-oldrel", "r": "4.5.3", "check": "OK", "artifact": "7075947468" }, { "job": 79109996150, "time": 105, "config": "windows-release", "r": "4.6.0", "check": "OK", "artifact": "7075940305" } ], "_buildurl": "https://github.com/r-universe/pattern-causality/actions/runs/26079030006", "_status": "success", "_host": "GitHub-Actions", "_upstream": "https://github.com/pattern-causality/pattern_causality", "_commit": { "id": "9763e0941814e2ca14e54fb1f8d7ee1bf180018e", "author": "leoxeno ", "committer": "leoxeno ", "message": "Add .Rbuildignore to exclude non-package files from CRAN build\n\nCo-Authored-By: Claude Opus 4.6 (1M context) \n", "time": 1773861904 }, "_maintainer": { "name": "Stavros Stavroglou", "email": "stavros.k.stavroglou@gmail.com", "login": "leoxeno", "linkedin": "in/leoxeno", "orcid": "0000-0003-3931-0391", "description": "Quantitative researcher & systems builder | Creator of Pattern Causality | \nBuilding AI-driven trading systems & portfolio analytics", "uuid": 36017542 }, "_registered": true, "_dependencies": [ { "package": "R", "version": ">= 4.1.0", "role": "Depends" }, { "package": "stats", "role": "Imports" }, { "package": "plot3D", "role": "Imports" }, { "package": "ggplot2", "role": "Imports" }, { "package": "reshape2", "role": "Imports" }, { "package": "grid", "role": "Imports" }, { "package": "ggthemes", "role": "Imports" }, { "package": "tidyr", "role": "Imports" }, { "package": "statebins", "role": "Imports" }, { "package": "ggrepel", "role": "Imports" }, { "package": "RColorBrewer", "role": "Imports" }, { "package": "scales", "role": "Imports" }, { "package": "gridExtra", "role": "Imports" }, { "package": "parallel", "role": "Imports" }, { "package": "knitr", "role": "Suggests" }, { "package": "rmarkdown", "role": "Suggests" }, { "package": "stringr", "role": "Suggests" }, { "package": "testthat", "version": ">= 3.0.0", "role": "Suggests" }, { "package": "lintr", "role": "Suggests" }, { "package": "zoo", "role": "Suggests" }, { "package": "graphics", "role": "Suggests" } ], "_owner": "pattern-causality", "_selfowned": true, "_usedby": 0, "_updates": [ { "week": "2026-12", "n": 3 } ], "_tags": [], "_stars": 6, "_contributors": [ { "user": "wanghui5801", "count": 123, "uuid": 64741346 }, { "user": "leoxeno", "count": 3, "uuid": 36017542 } ], "_userbio": { "uuid": 269283673, "type": "organization", "name": "pattern-causality" }, "_downloads": { "count": 544, "source": "https://cranlogs.r-pkg.org/downloads/total/last-month/patterncausality" }, "_devurl": "https://github.com/pattern-causality/pattern_causality", "_searchresults": 21, "_rbuild": "4.6.0", "_assets": [ "extra/citation.cff", "extra/citation.html", "extra/citation.json", "extra/citation.txt", "extra/contents.json", "extra/NEWS.html", "extra/NEWS.txt", "extra/patterncausality.html", "extra/readme.html", "extra/readme.md", "manual.pdf" ], "_homeurl": "https://github.com/pattern-causality/pattern_causality", "_realowner": "pattern-causality", "_cranurl": true, "_releases": [ { "version": "0.1.0", "date": "2024-07-31" }, { "version": "0.1.1", "date": "2024-08-18" }, { "version": "0.1.2", "date": "2024-08-22" }, { "version": "0.1.3", "date": "2024-09-24" }, { "version": "0.2.0", "date": "2025-01-10" }, { "version": "0.2.1", "date": "2025-02-15" }, { "version": "0.2.2", "date": "2025-09-04" }, { "version": "0.2.3", "date": "2025-10-03" }, { "version": "0.2.4", "date": "2026-03-19" } ], "_exports": [ "distanceMetric", "optimalParametersSearch", "pc_cv", "pc_effect", "pc_matrix", "pc_params", "pcAccuracy", "pcCrossMatrix", "pcCrossValidation", "pcEffect", "pcFullDetails", "pcLightweight", "pcMatrix", "plot_causality", "plot_components", "plot_total", "stateSpace", "stateSpaceMethod", "validate_custom_fn_output" ], "_datasets": [ { "name": "AUCO", "title": "Illapel Ecological Dataset", "object": "AUCO", "class": [ "data.frame" ], "fields": [ "Date", "PD", "AO", "P", "P1" ], "rows": 32, "table": true, "tojson": true }, { "name": "climate_indices", "title": "Climate Indices Dataset", "object": "climate_indices", "class": [ "data.frame" ], "fields": [ "Date", "AO", "AAO", "NAO", "PNA" ], "rows": 535, "table": true, "tojson": true }, { "name": "DJS", "title": "Dow Jones Stock Price Dataset", "object": "DJS", "class": [ "data.frame" ], "fields": [ "Date", "X3M", "American.Express", "Apple", "Boeing", "Caterpillar", "Chevron", "Cisco.Systems", "Coca.Cola", "DowDuPont", "ExxonMobil", "General.Electric", "Goldman.Sachs", "IBM", "Intel", "Johnson...Johnson", "JPMorgan.Chase", "McDonald.s", "Merck", "Microsoft", "Nike", "Pfizer", "Procter...Gamble", "The.Home.Depot", "Travelers", "United.Technologies", "UnitedHealth.Group", "Verizon", "Walmart", "Walt.Disney" ], "rows": 4510, "table": true, "tojson": true } ], "_help": [ { "page": "AUCO", "title": "Illapel Ecological Dataset", "topics": [ "AUCO" ] }, { "page": "climate_indices", "title": "Climate Indices Dataset", "topics": [ "climate_indices" ] }, { "page": "distanceMetric", "title": "Distance Metric Interface", "topics": [ "distanceMetric", "distanceMetric.custom", "distanceMetric.default" ] }, { "page": "DJS", "title": "Dow Jones Stock Price Dataset", "topics": [ "DJS" ] }, { "page": "optimalParametersSearch", "title": "Search for Optimal Parameters in Pattern Causality Analysis", "topics": [ "optimalParametersSearch" ] }, { "page": "pc_cv", "title": "Pattern Causality Cross-Validation Object", "topics": [ "pc_cv" ] }, { "page": "pc_effect", "title": "Pattern Causality Effect Object", "topics": [ "pc_effect" ] }, { "page": "pc_matrix", "title": "Pattern Causality Matrix Object", "topics": [ "pc_matrix" ] }, { "page": "pc_params", "title": "Pattern Causality Parameter Optimization Results", "topics": [ "pc_params" ] }, { "page": "pcAccuracy", "title": "Calculate Pattern Causality Accuracy", "topics": [ "pcAccuracy" ] }, { "page": "pcCrossMatrix", "title": "Cross Pattern Causality Matrix Analysis", "topics": [ "pcCrossMatrix" ] }, { "page": "pcCrossValidation", "title": "Pattern Causality Cross-Validation Analysis", "topics": [ "pcCrossValidation" ] }, { "page": "pcEffect", "title": "Pattern Causality Effect Analysis", "topics": [ "pcEffect" ] }, { "page": "pcFullDetails", "title": "Calculate Full Details Pattern Causality Analysis", "topics": [ "pcFullDetails" ] }, { "page": "pcLightweight", "title": "Calculate Pattern Causality Using Lightweight Algorithm", "topics": [ "pcLightweight" ] }, { "page": "pcMatrix", "title": "Pattern Causality Matrix Analysis", "topics": [ "pcMatrix" ] }, { "page": "plot_causality", "title": "Plot Pattern Causality Time Series", "topics": [ "plot_causality" ] }, { "page": "plot_causality.pc_full_details", "title": "Plot Pattern Causality Time Series", "topics": [ "plot_causality.pc_full_details" ] }, { "page": "plot_components", "title": "Plot Pattern Causality Components", "topics": [ "plot_components" ] }, { "page": "plot_components.pc_fit", "title": "Plot Causality Components", "topics": [ "plot_components.pc_fit" ] }, { "page": "plot_total", "title": "Plot Total Pattern Causality", "topics": [ "plot_total" ] }, { "page": "plot_total.pc_fit", "title": "Plot Total Causality", "topics": [ "plot_total.pc_fit" ] }, { "page": "plot.pc_cv", "title": "Plot Pattern Causality Cross Validation Results", "topics": [ "plot.pc_cv" ] }, { "page": "plot.pc_effect", "title": "Plot Pattern Causality Effect", "topics": [ "plot.pc_effect" ] }, { "page": "plot.pc_fit", "title": "Plot Pattern Causality Results", "topics": [ "plot.pc_fit" ] }, { "page": "plot.pc_matrix", "title": "Plot Pattern Causality Matrix", "topics": [ "plot.pc_matrix" ] }, { "page": "plot.pc_state", "title": "Plot State Space Reconstruction", "topics": [ "plot.pc_state" ] }, { "page": "print.pc_accuracy", "title": "Print Method for Pattern Causality Accuracy Results", "topics": [ "print.pc_accuracy" ] }, { "page": "print.pc_cv", "title": "Print Pattern Causality Cross Validation Results", "topics": [ "print.pc_cv" ] }, { "page": "print.pc_effect", "title": "Print Pattern Causality Effect", "topics": [ "print.pc_effect" ] }, { "page": "print.pc_fit", "title": "Print Pattern Causality Results", "topics": [ "print.pc_fit" ] }, { "page": "print.pc_matrix", "title": "Print Pattern Causality Matrix", "topics": [ "print.pc_matrix" ] }, { "page": "print.pc_params", "title": "Print Method for Pattern Causality Parameter Results", "topics": [ "print.pc_params" ] }, { "page": "print.pc_state", "title": "Print State Space Reconstruction", "topics": [ "print.pc_state" ] }, { "page": "print.summary.pc_accuracy", "title": "Print Method for Pattern Causality Accuracy Summary", "topics": [ "print.summary.pc_accuracy" ] }, { "page": "stateSpace", "title": "State Space Reconstruction", "topics": [ "stateSpace" ] }, { "page": "stateSpaceMethod", "title": "State Space Reconstruction Interface", "topics": [ "stateSpaceMethod", "stateSpaceMethod.custom", "stateSpaceMethod.default" ] }, { "page": "summary.pc_accuracy", "title": "Summary Method for Pattern Causality Accuracy Results", "topics": [ "summary.pc_accuracy" ] }, { "page": "summary.pc_cv", "title": "Summary of Pattern Causality Cross Validation Results", "topics": [ "summary.pc_cv" ] }, { "page": "summary.pc_effect", "title": "Summarize Pattern Causality Effect", "topics": [ "summary.pc_effect" ] }, { "page": "summary.pc_fit", "title": "Summarize Pattern Causality Results", "topics": [ "summary.pc_fit" ] }, { "page": "summary.pc_matrix", "title": "Summarize Pattern Causality Matrix", "topics": [ "summary.pc_matrix" ] }, { "page": "summary.pc_params", "title": "Summary Method for Pattern Causality Parameter Results", "topics": [ "summary.pc_params" ] }, { "page": "summary.pc_state", "title": "Summarize State Space Reconstruction", "topics": [ "summary.pc_state" ] }, { "page": "validate_custom_fn_output", "title": "Validate Custom Function Output for Pattern Causality Analysis", "topics": [ "validate_custom_fn_output" ] } ], "_pkglogo": "https://github.com/pattern-causality/pattern_causality/raw/HEAD/man/figures/logo.png", "_readme": "https://github.com/pattern-causality/pattern_causality/raw/HEAD/README.md", "_rundeps": [ "cli", "cpp11", "dplyr", "farver", "generics", "ggplot2", "ggrepel", "ggthemes", "glue", "gridExtra", "gtable", "isoband", "labeling", "lifecycle", "magrittr", "misc3d", "pillar", "pkgconfig", "plot3D", "plyr", "purrr", "R6", "RColorBrewer", "Rcpp", "reshape2", "rlang", "S7", "scales", "statebins", "stringi", "stringr", "tibble", "tidyr", "tidyselect", "utf8", "vctrs", "viridisLite", "withr" ], "_vignettes": [ { "source": "advanced.Rmd", "filename": "advanced.html", "title": "Advanced Pattern Causality: Custom Functions for Tailored Analysis", "author": "Stavros Stavroglou, Athanasios Pantelous, Hui Wang", "engine": "knitr::rmarkdown", "headings": [ "Custom Distance Metric", "Custom State Space Reconstruction", "Applying Custom Functions", "Comparing Results" ], "created": "2024-12-16 13:42:53", "modified": "2024-12-16 16:00:30", "commits": 2 }, { "source": "dynamic.Rmd", "filename": "dynamic.html", "title": "Dynamic Analysis: Pattern Causality in Time Points", "author": "Stavros Stavroglou, Athanasios Pantelous, Hui Wang", "engine": "knitr::rmarkdown", "headings": [ "Causality Strength Analysis with ERF Function", "Raw Causality Strength Analysis" ], "created": "2024-12-16 13:42:53", "modified": "2024-12-16 15:48:16", "commits": 4 }, { "source": "patterncausality.Rmd", "filename": "patterncausality.html", "title": "Exploring Pattern Causality: An Intuitive Guide", "author": "Stavros Stavroglou, Athanasios Pantelous, Hui Wang", "engine": "knitr::rmarkdown", "headings": [ "Application in Financial Markets", "Parameter Optimization", "Calculating Causality", "Detailed Analysis", "Parameter Description" ], "created": "2024-08-02 13:49:59", "modified": "2025-02-15 12:13:22", "commits": 13 }, { "source": "matrix.Rmd", "filename": "matrix.html", "title": "Multiple Series Pattern Causality Analysis: Unveiling System-Wide Interactions", "author": "Stavros Stavroglou, Athanasios Pantelous, Hui Wang", "engine": "knitr::rmarkdown", "headings": [ "Pattern Causality Matrix", "Pattern Causality Effect", "Cross Matrix analysis" ], "created": "2024-08-24 19:06:16", "modified": "2024-12-17 07:46:37", "commits": 9 }, { "source": "parallel.Rmd", "filename": "parallel.html", "title": "Parallel Computing in Pattern Causality Analysis", "author": "Stavros Stavroglou, Athanasios Pantelous, Hui Wang", "engine": "knitr::rmarkdown", "headings": [ "Key Benefits of Parallel Computing", "Performance Comparison: Sequential vs Parallel Computing", "Create test data", "Function to measure execution time", "Compare sequential vs parallel", "Matrix Analysis with Multiple Time Series", "Understanding Parallel Performance", "Key Factors Affecting Speed-up", "Best Practices for Optimal Performance", "System-Specific Considerations", "Windows Systems", "Linux/Mac Systems", "Memory Usage Guidelines", "Conclusion" ], "created": "2025-01-03 12:43:01", "modified": "2025-01-04 02:36:51", "commits": 2 }, { "source": "series.Rmd", "filename": "series.html", "title": "Unveiling Causal Relationships in Time Series Data", "author": "Stavros Stavroglou, Athanasios Pantelous, Hui Wang", "engine": "knitr::rmarkdown", "headings": [ "Cross-Validation: Ensuring the Reliability of Causal Inference", "Cross-Validation: Convergence of Pattern Causality", "Cross-Validation with Bootstrap Analysis" ], "created": "2024-08-24 19:06:16", "modified": "2025-01-10 04:24:48", "commits": 10 } ], "_score": 5.577491799837225, "_indexed": true, "_nocasepkg": "patterncausality", "_universes": [ "pattern-causality", "leoxeno" ], "_binaries": [ { "r": "4.7.0", "os": "linux", "version": "0.2.4", "date": "2026-05-19T05:59:13.000Z", "distro": "noble", "commit": "9763e0941814e2ca14e54fb1f8d7ee1bf180018e", "fileid": "75b01f058c1da0c10769955bbdcac871679f83e7494545730352d3f5647e4208", "status": "success", "check": "OK", "buildurl": "https://github.com/r-universe/pattern-causality/actions/runs/26079030006" }, { "r": "4.6.0", "os": "linux", "version": "0.2.4", "date": "2026-05-19T05:59:09.000Z", "distro": "noble", "commit": "9763e0941814e2ca14e54fb1f8d7ee1bf180018e", "fileid": "14460f5c896770ce58f87a56b46c85bcf82e9c00e3413aaf02f9477e4b801e50", "status": "success", "check": "OK", "buildurl": "https://github.com/r-universe/pattern-causality/actions/runs/26079030006" }, { "r": "4.5.3", "os": "mac", "version": "0.2.4", "date": "2026-05-19T05:59:40.000Z", "commit": "9763e0941814e2ca14e54fb1f8d7ee1bf180018e", "fileid": "367771a90451f7c8730d32af15521cf32a116979f0c89f980ae4d1d6e153dfc7", "status": "success", "check": "OK", "buildurl": "https://github.com/r-universe/pattern-causality/actions/runs/26079030006" }, { "r": "4.6.0", "os": "mac", "version": "0.2.4", "date": "2026-05-19T05:58:46.000Z", "commit": "9763e0941814e2ca14e54fb1f8d7ee1bf180018e", "fileid": "edae2d57bc87b4f4290b12dbadb44750a360e257f24e3b1df5b939828c6008cd", "status": "success", "check": "OK", "buildurl": "https://github.com/r-universe/pattern-causality/actions/runs/26079030006" }, { "r": "4.7.0", "os": "win", "version": "0.2.4", "date": "2026-05-19T05:58:10.000Z", "commit": "9763e0941814e2ca14e54fb1f8d7ee1bf180018e", "fileid": "d081a78ee8928a7ba8a731080b416d63b7abc0ceff386eefd791c401afa2a850", "status": "success", "check": "OK", "buildurl": "https://github.com/r-universe/pattern-causality/actions/runs/26079030006" }, { "r": "4.5.3", "os": "win", "version": "0.2.4", "date": "2026-05-19T05:58:40.000Z", "commit": "9763e0941814e2ca14e54fb1f8d7ee1bf180018e", "fileid": "8a9aabca3cfee4c749a07c2afcaf44dca7ff00358653bd7c5a29124b9d6df8b7", "status": "success", "check": "OK", "buildurl": "https://github.com/r-universe/pattern-causality/actions/runs/26079030006" }, { "r": "4.6.0", "os": "win", "version": "0.2.4", "date": "2026-05-19T05:58:04.000Z", "commit": "9763e0941814e2ca14e54fb1f8d7ee1bf180018e", "fileid": "3e30290093be00ed9884c13f9e0deeb6c1f6f11f5386ca62d1692accc44679d5", "status": "success", "check": "OK", "buildurl": "https://github.com/r-universe/pattern-causality/actions/runs/26079030006" }, { "r": "4.6.0", "os": "wasm", "version": "0.2.4", "date": "2026-06-02T15:36:59.000Z", "commit": "9763e0941814e2ca14e54fb1f8d7ee1bf180018e", "fileid": "6b1e4af0196a48c6ec7140cce9e1f2de06b1da63cdaf40ec326d5cf7c84acaf6", "status": "success", "buildurl": "https://github.com/r-universe/pattern-causality/actions/runs/26079030006" } ] }