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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 |
DOI: | 10.32614/CRAN.package.sgstar |
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 |
Reference manual: | sgstar.pdf |
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 |
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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.