itsmr-package | R Documentation |
Provides functions for modeling and forecasting time series data. Forecasting is based on the innovations algorithm. A description of the innovations algorithm can be found in the textbook Introduction to Time Series and Forecasting by Peter J. Brockwell and Richard A. Davis.
Package: | itsmr |
Type: | Package |
Version: | 1.11 |
Date: | 2025-05-15 |
License: | FreeBSD |
LazyLoad: | yes |
URL: | https://georgeweigt.github.io/itsmr-refman.pdf |
George Weigt
Maintainer: George Weigt <g808391@icloud.com>
Brockwell, Peter J., and Richard A. Davis. Introduction to Time Series and Forecasting. 2nd ed. Springer, 2002.
plotc(wine)
## Define a suitable data model
M = c("log","season",12,"trend",1)
## Obtain residuals and check for stationarity
e = Resid(wine,M)
test(e)
## Define a suitable ARMA model
a = arma(e,p=1,q=1)
## Obtain residuals and check for white noise
ee = Resid(wine,M,a)
test(ee)
## Forecast future values
forecast(wine,M,a)
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