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tsintermittent

R package tsintermittent: Intermittent Time Series Forecasting. Functions for analysing and forecasting intermittent demand/slow moving items time series.

Keywords for this software

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  • forecasting
  • R package
  • Journal of Statistical Software
  • R
  • autoregressive models
  • temporal aggregation
  • state space models
  • dynamic linear models
  • prediction
  • forecast reconciliation
  • time series
  • aberration detection
  • exponential family
  • regression model
  • forecast combination
  • temporal hierarchies
  • mixed Poisson
  • intervention analysis
  • likelihood
  • serial correlation
  • model selection

  • URL: cran.r-project.org/web...
  • Code
  • InternetArchive
  • Manual: cran.r-project.org/web...
  • Authors: Nikolaos Kourentzes; Fotios Petropoulos
  • Dependencies: R

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References in zbMATH (referenced in 3 articles )

Showing results 1 to 3 of 3.
y Sorted by year (citations)

  1. Kourentzes, Nikolaos; Athanasopoulos, George: Elucidate structure in intermittent demand series (2021)
  2. Jouni Helske: KFAS: Exponential Family State Space Models in R (2017) not zbMATH
  3. Tobias Liboschik; Konstantinos Fokianos; Roland Fried: tscount: An R Package for Analysis of Count Time Series Following Generalized Linear Models (2017) not zbMATH

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