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mbsts (version 3.0)

Multivariate Bayesian Structural Time Series

Description

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.

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Version

Install

install.packages('mbsts')

Monthly Downloads

232

Version

3.0

License

LGPL-2.1

Maintainer

Ning Ning

Last Published

January 7th, 2023

Functions in mbsts (3.0)

plot_comp

Plot Posterior State Components
mbsts-package

Multivariate Bayesian Structural Time Series
plot_prob

Plot Inclusion Probabilities
para.est

Regression parameter estimation by the MBSTS Model
mbsts_function

Main function for the multivariate Bayesian structural time series (MBSTS) model
mbsts-class

Constructor for the MBSTS model
sim_data

Simulate data
tsc.setting

Specification of time series components
mbsts.forecast

Specification of time series components
plot_cvg

Plot for Convergence Diagnosis