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Fpp2

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.

Install / Use

/learn @robjhyndman/Fpp2
About this skill

Quality Score

0/100

Supported Platforms

Universal

README

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fpp2 <img src="man/figures/logo.png" align="right" width = 150 />

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CRAN
status R build
status Downloads

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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("pak")
pak::pak("robjhyndman/fpp2")

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)
#> Registered S3 method overwritten by 'quantmod':
#>   method            from
#>   as.zoo.data.frame zoo
#> ── Attaching packages ─────────────────────────────────────── fpp2 2.5.0.9000 ──
#> ✔ ggplot2   4.0.1          ✔ fma       2.5       
#> ✔ forecast  9.0.0          ✔ expsmooth 2.3.0.9000
#> 
View on GitHub
GitHub Stars108
CategoryDevelopment
Updated2mo ago
Forks50

Languages

R

Security Score

85/100

Audited on Jan 19, 2026

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