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expsmooth  

Data Sets from "Forecasting with Exponential Smoothing"
View on CRAN: Click here


Download and install expsmooth package within the R console
Install from CRAN:
install.packages("expsmooth")

Install from Github:
library("remotes")
install_github("cran/expsmooth")

Install by package version:
library("remotes")
install_version("expsmooth", "2.3")



Attach the package and use:
library("expsmooth")
Maintained by
Rob J Hyndman
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2009-09-07
Latest Update: 2015-04-09
Description:
Data sets from the book "Forecasting with exponential smoothing: the state space approach" by Hyndman, Koehler, Ord and Snyder (Springer, 2008).
How to cite:
Rob J Hyndman (2009). expsmooth: Data Sets from "Forecasting with Exponential Smoothing". R package version 2.3, https://cran.r-project.org/web/packages/expsmooth. Accessed 05 Jun. 2026.
Previous versions and publish date:
2.00 (2009-09-07 11:37), 2.01 (2012-10-29 08:58), 2.02 (2012-10-30 07:20)
Other packages that cited expsmooth R package
View expsmooth citation profile
Other R packages that expsmooth depends, imports, suggests or enhances
Complete documentation for expsmooth
Functions, R codes and Examples using the expsmooth R package
Some associated functions: ausgdp . bonds . cangas . carparts . copper . dji . djiclose . enplanements . expsmooth-package . fmsales . freight . frexport . gasprice . hospital . jewelry . partx . sales . ukcars . unempcci . uselec . usgdp . utility . vehicles . visitors . xrates . 
Some associated R codes: Full expsmooth package functions and examples
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