arima2: Likelihood Based Inference for ARIMA Modeling
Estimating and analyzing auto regressive integrated moving average
(ARIMA) models. The primary function in this package is arima(), which fits
an ARIMA model to univariate time series data using a random restart
algorithm. This approach frequently leads to models that have model
likelihood greater than or equal to that of the likelihood obtained by
fitting the same model using the arima() function from the 'stats' package.
This package enables proper optimization of model likelihoods, which is a
necessary condition for performing likelihood ratio tests. This package
relies heavily on the source code of the arima() function of the 'stats'
package. For more information, please see Jesse Wheeler and Edward L.
Ionides (2023) <arXiv:2310.01198>.
||R (≥ 3.5)
||testthat (≥ 3.0.0)
||Jesse Wheeler [aut, cre, cph],
Noel McAllister [aut],
Dhajanae Sylvertooth [aut],
Edward Ionides [ctb],
Brian Ripley [ctb] (Author of arima source code in stats package.),
R Core Team [cph] (Author of arima source code in stats package.)
||Jesse Wheeler <jeswheel at umich.edu>
||GPL (≥ 3)
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