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  "Type": "Package",
  "Title": "Fitting and Forecasting of Grey Model for Multivariate Time\nSeries Data",
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  "Authors@R": "c(person(\"Pradip\",\"Basak\", role=c(\"aut\",\"cph\",\"cre\"),email=\"pradip@ubkv.ac.in\"),person(\"Nobin Chandra\",\"Paul\",role=c(\"aut\",\"cph\"),email=\"nobin.paul@icar.gov.in\"))",
  "Description": "Grey model is commonly used in time series forecasting\nwhen statistical assumptions are violated with a limited number\nof data points. The minimum number of data points required to\nfit a grey model is four observations. This package fits Grey\nmodel of First order and One Variable, i.e., GM (1,1) for\nmultivariate time series data and returns the parameters of the\nmodel, model evaluation criteria and h-step ahead forecast\nvalues for each of the time series variables. For method\ndetails see, Akay, D. and Atak, M. (2007)\n<DOI:10.1016/j.energy.2006.11.014>, Hsu, L. and Wang, C.\n(2007).<DOI:10.1016/j.techfore.2006.02.005>.",
  "License": "GPL (>= 2.0)",
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  "NeedsCompilation": "no",
  "Packaged": {
    "Date": "2026-05-20 06:38:39 UTC",
    "User": "root"
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  "Author": "Pradip Basak [aut, cph, cre], Nobin Chandra Paul [aut, cph]",
  "Maintainer": "Pradip Basak <pradip@ubkv.ac.in>",
  "Repository": "https://cran.r-universe.dev",
  "Date/Publication": "2025-01-31 16:38:37 UTC",
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      "title": "Fit the GM (1, 1) model for multivariate time series data",
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        "multigreyfit"
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