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A web application for displaying, analysing and forecasting univariate time series. Includes basic methods such as mean, naïve, seasonal naïve and drift, as well as more complex methods such as Holt-Winters Box,G and Jenkins, G (1976) <doi:10.1111/jtsa.12194> and ARIMA Brockwell, P.J. and R.A.Davis (1991) <doi:10.1007/978-1-4419-0320-4>.
Package details |
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Author | Oldemar Rodriguez [aut, cre], Diego Jiménez [aut] |
Maintainer | Oldemar Rodriguez <oldemar.rodriguez@ucr.ac.cr> |
License | GPL (>= 2) |
Version | 2.0.2 |
URL | https://promidat.website https://github.com/PROMiDAT/forecasteR |
Package repository | View on CRAN |
Installation |
Install the latest version of this package by entering the following in R:
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