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.

8 exports 1 stars 0.23 score 47 dependencies 5 scripts 200 downloads

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

TargetResultDate
Doc / VignettesOKAug 21 2024
R-4.5-winOKAug 21 2024
R-4.5-linuxOKAug 21 2024
R-4.4-winOKAug 21 2024
R-4.4-macOKAug 21 2024
R-4.3-winOKAug 21 2024
R-4.3-macOKAug 21 2024

Exports:mbsts_functionmbsts.forecastpara.estplot_compplot_cvgplot_probsim_datatsc.setting

Dependencies:backportsBBmisccheckmateclicodacolorspacedata.tablefansifarverggplot2gluegtableisobandKFASlabelinglatticelifecyclemagrittrMASSMatrixMatrixModelsmatrixStatsmcmcMCMCpackmgcvmunsellnlmepillarpkgconfigplyrpsclquantregR6RColorBrewerRcppreshape2rlangscalesSparseMstringistringrsurvivaltibbleutf8vctrsviridisLitewithr

Introduction to mbsts

Rendered fromIntro_to_mbsts.Rmdusingknitr::rmarkdownon Aug 21 2024.

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