Course Outline

Forecasting with R

  • Introduction to Forecasting
  • Exponential Smoothing
  • ARIMA models
  • The forecast package

Package 'forecast'

  • accuracy
  • Acf
  • arfima
  • Arima
  • arima.errors
  • auto.arima
  • bats
  • BoxCox
  • BoxCox.lambda
  • croston
  • CV
  • dm.test
  • dshw
  • ets
  • fitted.Arima
  • forecast
  • forecast.Arima
  • forecast.bats
  • forecast.ets
  • forecast.HoltWinters
  • forecast.lm
  • forecast.stl
  • forecast.StructTS
  • gas
  • gold
  • logLik.ets
  • ma
  • meanf
  • monthdays
  • msts
  • na.interp
  • naive
  • ndiffs
  • nnetar
  • plot.bats
  • plot.ets
  • plot.forecast
  • rwf
  • seasadj
  • seasonaldummy
  • seasonplot
  • ses
  • simulate.ets
  • sindexf
  • splinef
  • subset.ts
  • taylor
  • tbats
  • thetaf
  • tsdisplay
  • tslm
  • wineind
  • woolyrnq

Requirements

Basic general maths and statistics skills

Programming in any languages recommended but not necessary

  14 Hours
 

Number of participants


Starts

Ends


Dates are subject to availability and take place between 09:30 and 16:30.
Open Training Courses require 5+ participants.

Testimonials (4)

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