Multivariate (Dynamic) Generalized Additive Models. Fit Bayesian Dynamic Generalized Additive Models to multivariate observations. Users can build nonlinear State-Space models that can incorporate semiparametric effects in observation and process components, using a wide range of observation families. Estimation is performed using Markov Chain Monte
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curl https://depscope.dev/api/check/cran/mvgamFirst published · 2026-01-21 07:05:04
Last updated · 2026-01-21T05:10:02+00:00