mbsts: Multivariate Bayesian Structural Time Series

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

Documentation:

Reference manual:

mbsts.pdf

Downloads:

Package source:	mbsts_2.2.tar.gz
Windows binaries:	r-devel: mbsts_2.2.zip, r-release: mbsts_2.2.zip, r-oldrel: mbsts_2.2.zip
macOS binaries:	r-release (arm64): mbsts_2.2.tgz, r-oldrel (arm64): mbsts_2.2.tgz, r-release (x86_64): mbsts_2.2.tgz, r-oldrel (x86_64): mbsts_2.2.tgz
Old sources:	mbsts archive

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