Package: mbsts 3.0

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.

Authors:Jinwen Qiu <[email protected]>, Ning Ning <[email protected]>

mbsts_3.0.tar.gz
mbsts_3.0.zip(r-4.5)mbsts_3.0.zip(r-4.4)mbsts_3.0.zip(r-4.3)
mbsts_3.0.tgz(r-4.4-any)mbsts_3.0.tgz(r-4.3-any)
mbsts_3.0.tar.gz(r-4.5-noble)mbsts_3.0.tar.gz(r-4.4-noble)
mbsts_3.0.tgz(r-4.4-emscripten)mbsts_3.0.tgz(r-4.3-emscripten)
mbsts.pdf |mbsts.html
mbsts/json (API)

# Install 'mbsts' in R:
install.packages('mbsts', repos = c('https://patning.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

On CRAN:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

2.00 score 1 stars 5 scripts 234 downloads 8 exports 47 dependencies

Last updated 2 years agofrom:141b239678. Checks:OK: 7. Indexed: yes.

TargetResultDate
Doc / VignettesOKNov 20 2024
R-4.5-winOKNov 20 2024
R-4.5-linuxOKNov 20 2024
R-4.4-winOKNov 20 2024
R-4.4-macOKNov 20 2024
R-4.3-winOKNov 20 2024
R-4.3-macOKNov 20 2024

Exports:mbsts_functionmbsts.forecastpara.estplot_compplot_cvgplot_probsim_datatsc.setting

Dependencies:backportsBBmisccheckmateclicodacolorspacedata.tablefansifarverggplot2gluegtableisobandKFASlabelinglatticelifecyclemagrittrMASSMatrixMatrixModelsmatrixStatsmcmcMCMCpackmgcvmunsellnlmepillarpkgconfigplyrpsclquantregR6RColorBrewerRcppreshape2rlangscalesSparseMstringistringrsurvivaltibbleutf8vctrsviridisLitewithr

Introduction to mbsts

Rendered fromIntro_to_mbsts.Rmdusingknitr::rmarkdownon Nov 20 2024.

Last update: 2023-01-07
Started: 2023-01-07