{
  "_id": "6aad31e03d719c1f84076f24",
  "Package": "arimasel",
  "Title": "Cartesian Product-Based ARIMA Model Identification and Selection",
  "Version": "0.1.0",
  "Authors@R": "person(\"Olushina Olawale\", \"Awe\",\nemail = \"olawaleawe@ph-ludwigsburg.de\",\nrole  = c(\"aut\", \"cre\"),\ncomment = c(ORCID = \"0000-0002-3498-7218\"))",
  "Description": "Provides an alternative algorithm for ARIMA model\nidentification based on Cartesian products of user-supplied\nparameter sets. Rather than relying on ACF/PACF plots or\nstepwise search (as in auto.arima), the package exhaustively\nevaluates every ARIMA(p,d,q) triple in P x D x Q, ranks all\nconverged models by AIC, AICc, BIC, and HQIC simultaneously,\ncomputes Akaike weights for model uncertainty quantification,\nproduces ensemble forecasts, and provides publication-quality\ndiagnostic plots. The algorithm is flexible, transparent, and\nwidely applicable for quick, reproducible ARIMA model\nselection. Applications are demonstrated with Nigerian\nmacroeconomic time series data.",
  "License": "GPL-3",
  "Encoding": "UTF-8",
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  "NeedsCompilation": "no",
  "Packaged": {
    "Date": "2026-09-18 12:39:31 UTC",
    "User": "root"
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  "Author": "Olushina Olawale Awe [aut, cre]\n(<https://orcid.org/0000-0002-3498-7218>)",
  "Maintainer": "Olushina Olawale Awe <olawaleawe@ph-ludwigsburg.de>",
  "Repository": "https://olawaleawe.r-universe.dev",
  "Date/Publication": "2026-06-19 20:30:22 UTC",
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  "_published": "2026-09-18T12:43:12.834Z",
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    "name": "Olushina Olawale Awe",
    "followers": 10,
    "description": "I am passionate about data science, research collaboration, statistical learning and business analytics. "
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    "arima_fanplot",
    "arima_forecast",
    "arima_table",
    "arima_weights",
    "cart_arima",
    "compare_arima",
    "cp_sets",
    "hqic",
    "stationarity_test",
    "suggest_d"
  ],
  "_datasets": [
    {
      "name": "exchange_ng",
      "title": "Monthly USD/NGN Exchange Rate - Nigeria, 2010-2023",
      "object": "exchange_ng",
      "class": [
        "ts"
      ],
      "fields": [],
      "table": false,
      "tojson": true
    },
    {
      "name": "gdp_ng",
      "title": "Annual GDP Growth Rate - Nigeria, 1990-2023",
      "object": "gdp_ng",
      "class": [
        "ts"
      ],
      "fields": [],
      "table": false,
      "tojson": true
    },
    {
      "name": "inflation_ng",
      "title": "Monthly CPI Inflation Rate - Nigeria, 2000-2023",
      "object": "inflation_ng",
      "class": [
        "ts"
      ],
      "fields": [],
      "table": false,
      "tojson": true
    }
  ],
  "_help": [
    {
      "page": "arimasel-package",
      "title": "arimasel: Cartesian Product-Based ARIMA Model Identification and Selection",
      "topics": [
        "arimasel-package",
        "arimasel"
      ]
    },
    {
      "page": "arima_diagnose",
      "title": "Residual Diagnostics for a cartARIMA Object",
      "topics": [
        "arima_diagnose"
      ]
    },
    {
      "page": "arima_fanplot",
      "title": "Forecast Fan Chart for cartARIMA Objects",
      "topics": [
        "arima_fanplot"
      ]
    },
    {
      "page": "arima_forecast",
      "title": "Forecast from a Cartesian Product ARIMA Result",
      "topics": [
        "arima_forecast"
      ]
    },
    {
      "page": "arima_table",
      "title": "Format and Re-rank the ARIMA Model Comparison Table",
      "topics": [
        "arima_table"
      ]
    },
    {
      "page": "arima_weights",
      "title": "Akaike Weights and Evidence Ratios",
      "topics": [
        "arima_weights"
      ]
    },
    {
      "page": "cart_arima",
      "title": "Cartesian Product ARIMA Model Identification and Selection",
      "topics": [
        "cart_arima"
      ]
    },
    {
      "page": "cartARIMA-methods",
      "title": "Methods for cartARIMA Objects",
      "topics": [
        "AIC.cartARIMA",
        "BIC.cartARIMA",
        "coef.cartARIMA",
        "fitted.cartARIMA",
        "logLik.cartARIMA",
        "plot.cartARIMA",
        "print.cartARIMA",
        "residuals.cartARIMA",
        "summary.cartARIMA"
      ]
    },
    {
      "page": "compare_arima",
      "title": "Compare cart_arima with auto.arima",
      "topics": [
        "compare_arima"
      ]
    },
    {
      "page": "cp_sets",
      "title": "Cartesian Product of ARIMA Parameter Sets",
      "topics": [
        "cp_sets",
        "print.cartProduct"
      ]
    },
    {
      "page": "exchange_ng",
      "title": "Monthly USD/NGN Exchange Rate - Nigeria, 2010-2023",
      "topics": [
        "exchange_ng"
      ]
    },
    {
      "page": "gdp_ng",
      "title": "Annual GDP Growth Rate - Nigeria, 1990-2023",
      "topics": [
        "gdp_ng"
      ]
    },
    {
      "page": "hqic",
      "title": "Hannan-Quinn Information Criterion",
      "topics": [
        "hqic"
      ]
    },
    {
      "page": "inflation_ng",
      "title": "Monthly CPI Inflation Rate - Nigeria, 2000-2023",
      "topics": [
        "inflation_ng"
      ]
    },
    {
      "page": "stationarity_test",
      "title": "Battery of Stationarity Tests",
      "topics": [
        "stationarity_test"
      ]
    },
    {
      "page": "suggest_d",
      "title": "Recommend a Differencing Order",
      "topics": [
        "suggest_d"
      ]
    }
  ],
  "_rundeps": [],
  "_vignettes": [
    {
      "source": "arimasel-intro.Rmd",
      "filename": "arimasel-intro.html",
      "title": "Introduction to arimasel: Cartesian Product ARIMA Model Selection",
      "author": "Olushina Olawale Awe (PStat, CStat, FRSS)",
      "engine": "knitr::rmarkdown",
      "headings": [
        "1. Motivation",
        "2. Enumerating Candidates with cp_sets()",
        "3. Data",
        "4. Pre-screening: Stationarity and Differencing",
        "5. Cartesian Product ARIMA Selection",
        "6. Re-ranking by Different Criteria",
        "7. Akaike Weights",
        "8. Criterion Vote Table",
        "9. Visualising the Results",
        "10. Residual Diagnostics",
        "11. Forecasting",
        "11.1 Best-model forecast",
        "11.2 Ensemble forecast",
        "12. Monthly Series: Exchange Rate",
        "13. Comparing with auto.arima",
        "14. Summary",
        "References"
      ],
      "created": "2026-06-19 20:30:22",
      "modified": "2026-06-19 20:30:22",
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