croston: Forecasts for intermittent demand using Croston's method

In Fuzzy-Logix/AdapteR: Converts R syntax to SQL to provide fast analytics using in-database C++ library DB Lytix.

Description

Returns forecasts and other information for Croston's forecasts applied to object.

Usage

croston(object, ...)

Arguments

object	FLVector
alpha	Smoothing parameter. Default value = 0.5 .
h	Number of periods for forecasting.

Details

Based on Croston's (1972) method for intermittent demand forecasting, also described in Shenstone and Hyndman (2005). Croston's method involves using simple exponential smoothing (SES) on the non-zero elements of the time series and a separate application of SES to the times between non-zero elements of the time series. The smoothing parameters are denoted by alpha.

Value

An object containing details of the fitted model and forecasted values.

Examples

set.seed(100)
x<-rnorm(1000)
x <- x[x>0]
flv<-as.FLVector(x)
flobj<-croston(object = flv, h=9, alpha = .1)
robj<-croston(object = x, h=9,alpha = .1)

Fuzzy-Logix/AdapteR documentation built on May 6, 2019, 5:07 p.m.