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  "Title": "Fitting of Exponential Autoregressive (EXPAR) Model",
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  "Description": "The amplitude-dependent exponential autoregressive (EXPAR)\ntime series model, initially proposed by Haggan and Ozaki\n(1981) <doi:10.2307/2335819> has been implemented in this\npackage. Throughout various studies, the model has been found\nto adequately capture the cyclical nature of datasets.\nParameter estimation of such family of models has been tackled\nby the approach of minimizing the residual sum of squares\n(RSS). Model selection among various candidate orders has been\nimplemented using various information criteria, viz., Akaike\ninformation criteria (AIC), corrected Akaike information\ncriteria (AICc) and Bayesian information criteria (BIC). An\nillustration utilizing data of egg price indices has also been\nprovided.",
  "License": "GPL-3",
  "Encoding": "UTF-8",
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  "Packaged": {
    "Date": "2026-05-12 06:45:39 UTC",
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  "Author": "Saikath Das [aut, cre], Bishal Gurung [aut], Achal Lama [aut],\nKN Singh [aut]",
  "Maintainer": "Saikath Das <saikathdas007@gmail.com>",
  "Repository": "https://saikathd.r-universe.dev",
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      "title": "Fitting of EXPAR model",
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