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Bayesian Modeling and Causal Inference for Multivariate Longitudinal Data
| Language | Label | Description | Also known as |
|---|---|---|---|
| English | dynamite |
Bayesian Modeling and Causal Inference for Multivariate Longitudinal Data |
Statements
2 February 2024
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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) <arXiv:2302.01607>.
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