Forecasting time series using R

August 24, 2011
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(This article was first published on Research tips » R, and kindly contributed to R-bloggers)

I’ll be giving a talk on Forecasting time series using R for the Melbourne Users of R Network (MelbURN) on Thursday 27 October 2011 at 6pm.

I will look at the various facilities for time series forecasting available in R, concentrating on the forecast package. This package implements several automatic methods for forecasting time series including forecasts from ARIMA models, ARFIMA models and exponential smoothing models. I will also look more generally at how to go about forecasting non-seasonal data, seasonal data, seasonal data with high frequency, and seasonal data with multiple frequencies. Examples will be taken from my own consulting experience. I will give an overview of what’s possible and available and where it is useful, rather than give the mathematical details of any specific time series methods.

Further details are available at MeetUp.

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