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.
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")
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) #> Registered S3 method overwritten by 'quantmod': #> method from #> as.zoo.data.frame zoo #> ── Attaching packages ──────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────── fpp2 2.4 ── #> ✓ ggplot2 3.3.2 ✓ fma 2.4 #> ✓ forecast 220.127.116.1100 ✓ expsmooth 2.4 #>