fpp2-package
All data sets required for the examples and exercises in the book "Forecasting: principles and practice" (2nd ed, 2018) by Rob J Hyndman and George Athanasopoulos <http://OTexts.org/fpp2/>. All packages required to run the examples are also loaded.
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R
output: github_document
knitr::opts_chunk$set(
collapse = TRUE,
comment = "#>",
fig.path = "README-"
)
fpp2
Overview
The R package fpp2 loads data required for the examples and exercises used in the book Forecasting: Principles and Practice (2nd edition) by Rob J Hyndman and George Athanasopoulos. It also loads several packages needed to do the analysis described in the book.
Installation
You can install the stable version from CRAN.
install.packages('fpp2', dependencies = TRUE)
You can install the development version from Github
# install.packages("remotes")
remotes::install_github("robjhyndman/fpp2-package")
Usage
library(fpp2) will load the following packages:
- forecast, for forecasting methods and some data sets.
- ggplot2, for data visualisation.
- fma, for data taken from the book "Forecasting: methods and applications" by Makridakis, Wheelwright and Hyndman (1998).
- expsmooth, for data taken from the book "Forecasting with Exponential Smoothing" by Hyndman, Koehler, Ord and Snyder (2008).
You also get a condensed summary of conflicts with other packages you have loaded:
library(fpp2)
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