Description
Intermittent Time Series Forecasting.
Description
Time series methods for intermittent demand forecasting. Includes Croston's method and its variants (Moving Average, SBA), and the TSB method. Users can obtain optimal parameters on a variety of loss functions, or use fixed ones (Kourenztes (2014) <doi:10.1016/j.ijpe.2014.06.007>). Intermittent time series classification methods and iMAPA that uses multiple temporal aggregation levels are also provided (Petropoulos & Kourenztes (2015) <doi:10.1057/jors.2014.62>).
README.md
Intermittent demand forecasting package for R (tsintermittent)
Development repository for the tsintermittent package for R. Stable version can be found at: https://cran.r-project.org/web/packages/tstinermittent/index.html
Functions and wrappers for producing intermittent demand forecasts for R.
To install use:
if (!require("devtools")){install.packages("devtools")}
devtools::install_github("trnnick/tsintermittent")
Happy forecasting!