dynamite: An R Package for Dynamic Multivariate Panel Models

: Tikka, Santtu; Helske, Jouni

Publisher: Foundation for Open Access Statistics

: 2025

Journal of Statistical Software

: 115

: 5

: 1

: 42

: 1548-7660

DOI: https://doi.org/10.18637/jss.v115.i05

: https://doi.org/10.18637/jss.v115.i05

: https://research.utu.fi/converis/portal/detail/Publication/515939164

dynamite is an R package for Bayesian inference of intensive panel (time series) data comprising multiple measurements per multiple individuals measured in time. The package supports joint modeling of multiple response variables, time-varying and time-invariant effects, a wide range of discrete and continuous distributions, group-specific random effects, latent factors, and customization of prior distributions of the model parameters. Models in the package are defined via a user-friendly formula interface, and estimation of the posterior distribution of the model parameters takes advantage of state-of-the-art Markov chain Monte Carlo methods. The package enables efficient computation of both individual-level and aggregated predictions and offers a comprehensive suite of tools for visualization and model diagnostics.

v115i05.pdf

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This research was funded by the Research Council of Finland (decision numbers 331817, 355153, 345546) and partially supported by the INVEST Research Flagship Centre.