Bayesian Modeling and Causal Inference for Multivariate Longitudinal Data R package dynamite version 1.6.3 CRAN Task View: Bayesian (https://CRAN.R-project.org/view=Bayesian) CRAN Task View: TimeSeries (https://CRAN.R-project.org/view=TimeSeries) Easy-to-use and efficient interface for Bayesian inference of complex panel (time series) data using dynamic multivariate panel models by Helske and Tikka (2024) <doi:10.1016/j.alcr.2024.100617>. 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, 2025) <doi:10.18637/jss.v115.i05>. Software Depends: R (>= 3.6.0) Imports: checkmate, cli, data.table (>= 1.15.0), ggforce, glue, ggplot2, loo, patchwork, posterior, rlang, rstan, stats, tibble (>= 2.0.0), utils Suggests: cmdstanr, covr, dplyr, knitr, mice, mockthat, quarto, testthat (>= 3.0.0), tidyr Santtu Tikka <santtuth@gmail.com> Comprehensive R Archive Network (CRAN) Santtu Tikka [aut, cre] (ORCID: <https://orcid.org/0000-0003-4039-4342>), Jouni Helske [aut] (ORCID: <https://orcid.org/0000-0001-7130-793X>), Nicholas Clark [rev], Lucy D'Agostino McGowan [rev] GPL (>= 3) 2026-04-27 application/tgz https://CRAN.R-project.org/package=dynamite doi:10.32614/CRAN.package.dynamite