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EXPARMA (version 0.1.0)

Fitting of Exponential Autoregressive Moving Average (EXPARMA) Model

Description

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.

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Version

Install

install.packages('EXPARMA')

Monthly Downloads

219

Version

0.1.0

License

GPL-3

Maintainer

Bishal Gurung

Last Published

July 19th, 2023

Functions in EXPARMA (0.1.0)

BestExp

Fitting of Best Exponential Autoregressive Moving Average (EXPARMA) Model
EXPARMAfit

Fitting of Exponential Autoregressive Moving Average (EXPARMA) Model
init_val

Fitting of Exponential Autoregressive Moving Average (EXPARMA) Model
EXPARMA_optim

Fitting of Exponential Autoregressive Moving Average (EXPARMA) Model