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In contrast, the\nFractional ARIMA model allows fractional differencing, enabling\nit to effectively capture long memory characteristics in time\nseries data. The ‘fracARMA’ package is user-friendly and allows\nusers to manually input the fractional differencing parameter,\nwhich can be obtained using various estimators such as the GPH\nestimator, Sperio method, or Wavelet method and many.\nAdditionally, the package enables users to directly feed the\ntime series data, AR order, MA order, fractional differencing\nparameter, and the proportion of training data as a split\nratio, all in a single command. 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