Package: rucm 0.6.2

rucm: Implementation of Unobserved Components Model (UCM) in R

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.

Authors:Kaushik Roy Chowdhury

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rucm.pdf |rucm.html
rucm/json (API)
NEWS

# Install 'rucm' in R:
install.packages('rucm', repos = c('https://kaushikrch.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Bug tracker:https://github.com/kaushikrch/rucm/issues

On CRAN:

1 exports 3 stars 1.41 score 1 dependencies 24 scripts 6.4k downloads

Last updated 6 years agofrom:eadd9aee6c. Checks:OK: 1 WARNING: 6. Indexed: yes.

TargetResultDate
Doc / VignettesOKSep 09 2024
R-4.5-winWARNINGSep 09 2024
R-4.5-linuxWARNINGSep 09 2024
R-4.4-winWARNINGSep 09 2024
R-4.4-macWARNINGSep 09 2024
R-4.3-winWARNINGSep 09 2024
R-4.3-macWARNINGSep 09 2024

Exports:ucm

Dependencies:KFAS

Unobserved Component Models in R

Rendered fromrucm_vignettes.Rmdusingknitr::knitron Sep 09 2024.

Last update: 2015-03-07
Started: 2015-03-07