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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.
Version: | 0.6 |
Depends: | KFAS |
Suggests: | knitr |
Published: | 2015-11-06 |
DOI: | 10.32614/CRAN.package.rucm |
Author: | Kaushik Roy Chowdhury |
Maintainer: | Kaushik Roy Chowdhury <kaushikrch at gmail.com> |
BugReports: | https://github.com/kaushikrch/rucm/issues |
License: | GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
NeedsCompilation: | no |
Materials: | README NEWS |
CRAN checks: | rucm results |
Reference manual: | rucm.pdf |
Vignettes: |
Unobserved Component Models in R |
Package source: | rucm_0.6.tar.gz |
Windows binaries: | r-devel: rucm_0.6.zip, r-release: rucm_0.6.zip, r-oldrel: rucm_0.6.zip |
macOS binaries: | r-release (arm64): rucm_0.6.tgz, r-oldrel (arm64): rucm_0.6.tgz, r-release (x86_64): rucm_0.6.tgz, r-oldrel (x86_64): rucm_0.6.tgz |
Old sources: | rucm archive |
Please use the canonical form https://CRAN.R-project.org/package=rucm to link to this page.
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.