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m5  

'M5 Forecasting' Challenges Data
View on CRAN: Click here


Download and install m5 package within the R console
Install from CRAN:
install.packages("m5")

Install from Github:
library("remotes")
install_github("cran/m5")

Install by package version:
library("remotes")
install_version("m5", "0.1.1")



Attach the package and use:
library("m5")
Maintained by
Krzysztof Joachimiak
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2022-09-12
Latest Update:
Description:
Contains functions, which facilitate downloading, loading and preparing data from 'M5 Forecasting' challenges (by 'University of Nicosia', hosted on 'Kaggle'). The data itself is set of time series of different product sales in 'Walmart'. The package also includes a ready-to-use built-in M5 subset named 'tiny_m5'. For detailed information about the challenges, see: Makridakis, S. & Spiliotis, E. & Assimakopoulos, V. (2020). .
How to cite:
Krzysztof Joachimiak (2022). m5: 'M5 Forecasting' Challenges Data. R package version 0.1.1, https://cran.r-project.org/web/packages/m5. Accessed 12 Jun. 2026.
Previous versions and publish date:
0.1.1 (2022-09-12 10:32)
Other packages that cited m5 R package
View m5 citation profile
Other R packages that m5 depends, imports, suggests or enhances
Complete documentation for m5
Functions, R codes and Examples using the m5 R package
Some associated functions: m5-package . m5_demand_type . m5_download . m5_get_raw . m5_prepare . tiny_m5 . 
Some associated R codes: data-tiny-m5.R . demand-type.R . download.R . load.R . m5-package.R . prepare.R .  Full m5 package functions and examples
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