DESCRIPTION

Package: m5
Type: Package
Title: 'M5 Forecasting' Challenges Data
Version: 0.1.1
Authors@R: 
    person(given   = "Krzysztof",
           family  = "Joachimiak",
           role    = c("aut", "cre"),
           email   = "joachimiak.krzysztof@gmail.com",
           comment = c(ORCID = "0000-0003-4780-7947"))
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, Spyros & Spiliotis, Evangelos & Assimakopoulos, Vassilis. 
  (2020). The M5 Accuracy competition: Results, findings and conclusions. <doi:10.1016/j.ijforecast.2021.10.009>
Encoding: UTF-8
LazyData: true
BugReports: https://github.com/krzjoa/m5/issues
URL: https://github.com/krzjoa/m5, https://krzjoa.github.io/m5/
RoxygenNote: 7.1.2
License: MIT + file LICENSE
Depends: 
    R (>= 3.5.0)
Suggests: 
    ggplot2,
    knitr,
    testthat (>= 3.0.0),
    rmarkdown,
    zeallot
VignetteBuilder: knitr
Imports: 
    data.table,
    stringi,
    lubridate
Roxygen: list(markdown = TRUE)
Config/testthat/edition: 3