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r-rucm

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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.

Installation

To install this package, run one of the following:

Conda
$conda install f30a78ec8::r-rucm

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Summary

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.

Last Updated

Dec 29, 2019 at 05:08

License

GPL-2

Total Downloads

22

Supported Platforms

noarch