Fitting of Exponential Autoregressive Moving Average (EXPARMA) Model

The amplitude-dependent autoregressive time series model (EXPAR) proposed by Haggan and Ozaki (1981) was improved by incorporating the moving average (MA) framework for capturing the variability efficiently. Parameters of the EXPARMA model can be estimated using this package. The user is provided with the best fitted EXPARMA model for the data set under consideration.


Reference manual

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install.packages("EXPARMA")

0.1.0 by Bishal Gurung, 3 years ago


Browse source code at https://github.com/cran/EXPARMA


Authors: Bishal Gurung [aut, cre] , Saikat Das [aut] , Achal Lama [aut] , Kn Singh [aut]


Documentation:   PDF Manual  


GPL-3 license


Imports forecast, stats


See at CRAN