A time series is said to be partially autoregressive if it can be represented as a sum of a random walk and an autoregressive sequence without unit roots. This package fits partially autoregressive time series, where the autoregressive component is AR(1). This may be of use in modeling certain financial time series.
|Author||Matthew Clegg [aut, cre, cph]|
|Date of publication||2017-04-18 05:29:11 UTC|
|Maintainer||Matthew Clegg <[email protected]>|
|License||GPL-2 | GPL-3|
|Package repository||View on CRAN|
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