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sgstar: Seasonal Generalized Space Time Autoregressive (S-GSTAR) Model

A set of function that implements for seasonal multivariate time series analysis based on Seasonal Generalized Space Time Autoregressive with Seemingly Unrelated Regression (S-GSTAR-SUR) Model by Setiawan(2016)<https://www.researchgate.net/publication/316517889_S-GSTAR-SUR_model_for_seasonal_spatio_temporal_data_forecasting>.

Version: 0.1.2
Depends: R (≥ 3.5.0)
Imports: dplyr, ggplot2, stats, tidyr, utils
Suggests: knitr, rmarkdown
Published: 2021-05-23
Author: M. Yoga Satria Utama [aut, cre], Ernawati Pasaribu [aut]
Maintainer: M. Yoga Satria Utama <221709801 at stis.ac.id>
BugReports: https://github.com/yogasatria30/sgstar/issues
License: GPL-3
URL: https://github.com/yogasatria30/sgstar
NeedsCompilation: no
Materials: README
CRAN checks: sgstar results

Documentation:

Reference manual: sgstar.pdf

Downloads:

Package source: sgstar_0.1.2.tar.gz
Windows binaries: r-devel: sgstar_0.1.2.zip, r-release: sgstar_0.1.2.zip, r-oldrel: sgstar_0.1.2.zip
macOS binaries: r-release (arm64): sgstar_0.1.2.tgz, r-oldrel (arm64): sgstar_0.1.2.tgz, r-release (x86_64): sgstar_0.1.2.tgz, r-oldrel (x86_64): sgstar_0.1.2.tgz
Old sources: sgstar archive

Linking:

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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.
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