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dynamite: Bayesian Modeling and Causal Inference for Multivariate Longitudinal Data

Easy-to-use and efficient interface for Bayesian inference of complex panel (time series) data using dynamic multivariate panel models by Helske and Tikka (2022) <doi:10.31235/osf.io/mdwu5>. The package supports joint modeling of multiple measurements per individual, time-varying and time-invariant effects, and a wide range of discrete and continuous distributions. Estimation of these dynamic multivariate panel models is carried out via 'Stan'. For an in-depth tutorial of the package, see (Tikka and Helske, 2023) <doi:10.48550/arXiv.2302.01607>.

Version: 1.4.9
Depends: R (≥ 3.6.0)
Imports: checkmate, cli, data.table, glue, ggplot2, loo, methods, patchwork, posterior, rlang, rstan, stats, tibble (≥ 2.0.0), utils
Suggests: bookdown, cmdstanr, covr, dplyr, knitr, mockthat, rmarkdown, testthat (≥ 3.0.0), tidyr
Published: 2024-02-02
Author: Santtu Tikka ORCID iD [aut, cre], Jouni Helske ORCID iD [aut], Nicholas Clark [rev], Lucy D’Agostino McGowan [rev]
Maintainer: Santtu Tikka <santtuth at gmail.com>
BugReports: https://github.com/ropensci/dynamite/issues/
License: GPL (≥ 3)
URL: https://docs.ropensci.org/dynamite/, https://github.com/ropensci/dynamite/
NeedsCompilation: no
Additional_repositories: https://mc-stan.org/r-packages/
Citation: dynamite citation info
Materials: README NEWS
CRAN checks: dynamite results

Documentation:

Reference manual: dynamite.pdf
Vignettes: dynamite: An R Package for Dynamic Multivariate Panel Models
Priors for dynamic multivariate panel models
Simulating data from a dynamic multivariate panel model

Downloads:

Package source: dynamite_1.4.9.tar.gz
Windows binaries: r-devel: dynamite_1.4.9.zip, r-release: dynamite_1.4.9.zip, r-oldrel: dynamite_1.4.9.zip
macOS binaries: r-release (arm64): dynamite_1.4.9.tgz, r-oldrel (arm64): dynamite_1.4.9.tgz, r-release (x86_64): dynamite_1.4.9.tgz, r-oldrel (x86_64): dynamite_1.4.9.tgz
Old sources: dynamite archive

Linking:

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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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