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 (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, 2024) doi:10.48550/arXiv.2302.01607.
- Version1.5.5
- R version≥ 3.6.0
- LicenseGPL (≥ 3)
- Needs compilation?No
- dynamite citation info
- Last release11/15/2024
Documentation
Team
Santtu Tikka
Jouni Helske
Show author detailsRolesAuthorLucy D'Agostino McGowan
Show author detailsRolesReviewerNicholas Clark
Show author detailsRolesReviewer
Insights
Last 30 days
This package has been downloaded 659 times in the last 30 days. This could be a paper that people cite without reading. Reaching the medium popularity echelon is no small feat! The following heatmap shows the distribution of downloads per day. Yesterday, it was downloaded 55 times.
The following line graph shows the downloads per day. You can hover over the graph to see the exact number of downloads per day.
Last 365 days
This package has been downloaded 6,728 times in the last 365 days. That's a lot of interest! Someone might even write a blog post about it. The day with the most downloads was Feb 20, 2025 with 84 downloads.
The following line graph shows the downloads per day. You can hover over the graph to see the exact number of downloads per day.
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Dependencies
- Imports12 packages
- Suggests8 packages