Tools for data analysis with multivariate Bayesian structural time series (MBSTS) models. Specifically, the package provides facilities for implementing general structural time series models, flexibly adding on different time series components (trend, season, cycle, and regression), simulating them, fitting them to multivariate correlated time series data, conducting feature selection on the regression component.
| Version: | 2.2 |
| Depends: | R (≥ 3.5.0) |
| Imports: | KFAS, Matrix, pscl, MCMCpack, MASS, ggplot2, reshape2, BBmisc, matrixStats, methods |
| Published: | 2021-06-25 |
| Author: | Jinwen Qiu, Ning Ning |
| Maintainer: | Jinwen Qiu <qjwsnow_ctw at hotmail.com> |
| License: | LGPL-2.1 |
| NeedsCompilation: | no |
| In views: | TimeSeries |
| CRAN checks: | mbsts results |
| Reference manual: | mbsts.pdf |
| Package source: | mbsts_2.2.tar.gz |
| Windows binaries: | r-devel: mbsts_2.2.zip, r-release: mbsts_1.0.zip, r-oldrel: mbsts_2.2.zip |
| macOS binaries: | r-release (arm64): mbsts_2.2.tgz, r-release (x86_64): mbsts_2.2.tgz, r-oldrel: mbsts_2.2.tgz |
| Old sources: | mbsts archive |
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