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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)
Citation | dynamite citation info |
docs.ropensci.org/dynamite/ | |
github.com/ropensci/dynamite/ | |
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