Package: mvdlm 0.1.0

Eric J. Ward

mvdlm: Multivariate Dynamic Linear Modelling With Stan

Fits multivariate dynamic linear models in a Bayesian framework using Stan.

Authors:Eric J. Ward [aut, cre]

mvdlm_0.1.0.tar.gz
mvdlm_0.1.0.zip(r-4.7)mvdlm_0.1.0.zip(r-4.6)mvdlm_0.1.0.zip(r-4.5)
mvdlm_0.1.0.tgz(r-4.6-x86_64)mvdlm_0.1.0.tgz(r-4.6-arm64)mvdlm_0.1.0.tgz(r-4.5-x86_64)mvdlm_0.1.0.tgz(r-4.5-arm64)
mvdlm_0.1.0.tar.gz(r-4.7-arm64)mvdlm_0.1.0.tar.gz(r-4.7-x86_64)mvdlm_0.1.0.tar.gz(r-4.6-arm64)mvdlm_0.1.0.tar.gz(r-4.6-x86_64)
manual.pdf |manual.html✨
card.svg |card.png
mvdlm/json (API)

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

Bug tracker:https://github.com/atsa-es/mvdlm/issues

Uses libs:
  • c++– GNU Standard C++ Library v3

On CRAN:

Conda:

bayesiandlmstantime-seriescpp

2.70 score 1 stars 3 scripts 2 exports 69 dependencies

Last updated from:7f9f208703. Checks:11 ERROR, 1 OK, 1 FAIL. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-arm64ERROR277
linux-devel-x86_64ERROR279
source / vignettesOK332
linux-release-arm64ERROR283
linux-release-x86_64ERROR235
macos-release-arm64ERROR159
macos-release-x86_64ERROR330
macos-oldrel-arm64ERROR195
macos-oldrel-x86_64ERROR402
windows-develERROR290
windows-releaseERROR328
windows-oldrelERROR310
wasm-releaseFAIL163

Exports:dlm_trendsfit_dlm

Dependencies:abindbackportsBHbroombroom.mixedcallrcheckmateclicodacodetoolscpp11descdigestdistributionaldplyrfarverforcatsfurrrfuturegenericsggplot2globalsgluegridExtragtableinlineisobandKFASlabelinglatticelifecyclelistenvloomagrittrMARSSmatrixStatsmvtnormnlmenumDerivparallellypillarpkgbuildpkgconfigposteriorprocessxpspurrrQuickJSRR6RColorBrewerRcppRcppEigenRcppParallelrlangrstanrstantoolsS7scalesStanHeadersstringistringrtensorAtibbletidyrtidyselectutf8vctrsviridisLitewithr

Overview of mvdlm package

Eric J. Ward

Rendered froma01_overview.Rmdusingknitr::rmarkdownon May 24 2026.

Last update: 2024-06-07
Started: 2022-09-19