rucm
Implementation of Unobserved Components Models (UCM) in R
Description
Unobserved Components Models (introduced in Harvey, A. (1989), Forecasting, structural time series models and the Kalman filter, Cambridge New York: Cambridge University Press) decomposes a time series into components such as trend, seasonal, cycle, and the regression effects due to predictor series which captures the salient features of the series to predict its behavior.
Comments
- This repository is a working version of R package rucm.
- A stable version is available for download on CRAN. To download package
install.packages("rucm")
. - Package vignette can be found here.
Work-in-progress
- Implement time-varying independent variable estimation.
- Update
predict.ucm()
to use argumentnewdata
for causal forecasting.
Issues
Issues can be reported here.
Package News
rucm v0.4
Changes:
- Changes in S3 method of printing an UC model. Added p - values for estimates of predictor variables.
- Added a vignette "Unobserved Components Model in R".
- Submitted to CRAN on 2014-09-06.
rucm v0.3
- First submitted to CRAN on 2014-08-25.