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tsintermittent  

Intermittent Time Series Forecasting
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("tsintermittent", "1.10")



Attach the package and use:
library("tsintermittent")
Maintained by
Nikolaos Kourentzes
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2014-06-23
Latest Update: 2022-07-18
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>).
How to cite:
Nikolaos Kourentzes (2014). tsintermittent: Intermittent Time Series Forecasting. R package version 1.10, https://cran.r-project.org/web/packages/tsintermittent
Previous versions and publish date:
1.0 (2014-06-23 11:50), 1.1 (2014-07-03 20:59), 1.2 (2014-07-16 21:12), 1.3 (2014-08-04 14:19), 1.4 (2014-10-03 14:23), 1.5 (2014-11-20 14:12), 1.7 (2015-09-17 14:49), 1.8 (2015-09-24 08:25), 1.9 (2016-03-10 23:32)
Other packages that cited tsintermittent R package
View tsintermittent citation profile
Other R packages that tsintermittent depends, imports, suggests or enhances
Functions, R codes and Examples using the tsintermittent R package
Some associated functions: crost.decomp . crost.ma . crost . data.frc . idclass . imapa . sexsm . simID . ts.data1 . ts.data2 . tsb . 
Some associated R codes: crost.R . crost.decomp.R . crost.ma.R . data.frc.R . idclass.R . imapa.R . sexsm.R . simID.R . tsb.R .  Full tsintermittent package functions and examples
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