m5: 'M5 Forecasting' Challenges Data

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). <doi:10.1016/j.ijforecast.2021.10.009>.

Version:	0.1.1
Depends:	R (≥ 3.5.0)
Imports:	data.table, stringi, lubridate
Suggests:	ggplot2, knitr, testthat (≥ 3.0.0), rmarkdown, zeallot
Published:	2022-09-12
DOI:	10.32614/CRAN.package.m5
Author:	Krzysztof Joachimiak [aut, cre]
Maintainer:	Krzysztof Joachimiak <joachimiak.krzysztof at gmail.com>
BugReports:	https://github.com/krzjoa/m5/issues
License:	MIT + file LICENSE
URL:	https://github.com/krzjoa/m5, https://krzjoa.github.io/m5/
NeedsCompilation:	no
Materials:	README
In views:	TimeSeries
CRAN checks:	m5 results

Documentation:

Reference manual:	m5.pdf
Vignettes:	demand_classification

Downloads:

Package source:	m5_0.1.1.tar.gz
Windows binaries:	r-devel: m5_0.1.1.zip, r-release: m5_0.1.1.zip, r-oldrel: m5_0.1.1.zip
macOS binaries:	r-release (arm64): m5_0.1.1.tgz, r-oldrel (arm64): m5_0.1.1.tgz, r-release (x86_64): m5_0.1.1.tgz, r-oldrel (x86_64): m5_0.1.1.tgz

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