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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.
Package details 


Author  Matthew Clegg [aut, cre, cph] 
Date of publication  20170418 05:29:11 UTC 
Maintainer  Matthew Clegg <[email protected]> 
License  GPL2  GPL3 
Version  1.0.10 
Package repository  View on CRAN 
Installation 
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