ttnsdcn/forecast-package: Forecasting functions for time series

Methods and tools for displaying and analysing univariate time series forecasts including exponential smoothing via state space models and automatic ARIMA modelling.

Getting started

Package details

AuthorRob J Hyndman <Rob.Hyndman@monash.edu> with contributions from Slava Razbash and Drew Schmidt
MaintainerRob J Hyndman <Rob.Hyndman@monash.edu>
LicenseGPL (>= 2)
Version3.17
URL http://robjhyndman.com/software/forecast/
Package repositoryView on GitHub
Installation Install the latest version of this package by entering the following in R:
install.packages("remotes")
remotes::install_github("ttnsdcn/forecast-package")
ttnsdcn/forecast-package documentation built on June 1, 2019, 2:49 a.m.