diff --git a/R/data.R b/R/data.R index d3667de..efe216e 100644 --- a/R/data.R +++ b/R/data.R @@ -137,7 +137,7 @@ #' * Category level aggregations (`HOBBIES`, `HOUSEHOLD`, `FOODS`) #' * Department level aggregations (`HOBBIES_1`, `HOBBIES_2`, `HOUSEHOLD_1`, `HOUSEHOLD_2`, `FOODS_1`, `FOODS_2`, `FOODS_3`) #' -#' Forecasts are generated with the function \link[smooth]{forecast} and the model \link[smooth]{adam} from the package `smooth`. +#' Forecasts are generated with the function `forecast` and the model `adam` from the package `smooth`. #' * The models for the bottom time series are selected with multiplicative Gamma error term (`MNN`); #' * The models for the upper time series (`AXZ`) is selected with Gaussian additive error term, seasonality selected based on information criterion. #' @@ -157,6 +157,8 @@ #' #' Makridakis, Spyros & Spiliotis, Evangelos & Assimakopoulos, Vassilis. (2020). *The M5 Accuracy competition: Results, findings and conclusions.* International Journal of Forecasting 38(4) 1346-1364. \doi{10.1016/j.ijforecast.2021.10.009} #' +#' Svetunkov I (2023). *smooth: Forecasting Using State Space Models*. R package version 4.0.0, . +#' #' @source #' Makridakis, Spyros & Spiliotis, Evangelos & Assimakopoulos, Vassilis. (2020). *The M5 Accuracy competition: Results, findings and conclusions.* International Journal of Forecasting 38(4) 1346-1364. \doi{10.1016/j.ijforecast.2021.10.009} "M5_CA1_basefc" \ No newline at end of file diff --git a/man/M5_CA1_basefc.Rd b/man/M5_CA1_basefc.Rd index dcea6ec..a4a9968 100644 --- a/man/M5_CA1_basefc.Rd +++ b/man/M5_CA1_basefc.Rd @@ -32,7 +32,7 @@ The store \code{CA_1} contains 3049 item level time series and 11 aggregate time \item Department level aggregations (\code{HOBBIES_1}, \code{HOBBIES_2}, \code{HOUSEHOLD_1}, \code{HOUSEHOLD_2}, \code{FOODS_1}, \code{FOODS_2}, \code{FOODS_3}) } -Forecasts are generated with the function \link[smooth]{forecast} and the model \link[smooth]{adam} from the package \code{smooth}. +Forecasts are generated with the function \code{forecast} and the model \code{adam} from the package \code{smooth}. \itemize{ \item The models for the bottom time series are selected with multiplicative Gamma error term (\code{MNN}); \item The models for the upper time series (\code{AXZ}) is selected with Gaussian additive error term, seasonality selected based on information criterion. @@ -44,5 +44,7 @@ The raw data was downloaded with the package \link[m5]{m5-package}. Joachimiak K (2022). \emph{m5: 'M5 Forecasting' Challenges Data}. R package version 0.1.1, \url{https://CRAN.R-project.org/package=m5}. Makridakis, Spyros & Spiliotis, Evangelos & Assimakopoulos, Vassilis. (2020). \emph{The M5 Accuracy competition: Results, findings and conclusions.} International Journal of Forecasting 38(4) 1346-1364. \doi{10.1016/j.ijforecast.2021.10.009} + +Svetunkov I (2023). \emph{smooth: Forecasting Using State Space Models}. R package version 4.0.0, \url{https://CRAN.R-project.org/package=smooth}. } \keyword{datasets}