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The presence of variables used in trials() and offset() is now properly checked in the data.
The model components trials() and offset() now function correctly in predict() when they contain response variables of the model.
Fixed the calculation of the number of observations in nobs() for models that have multivariate channels.
Fixed an issue in predict() with models that contained multivariate channels with random effects.
Scenarios that have zero non-missing observations at specific time indices are now handled properly in the Stan code generation.
The names of additional arguments passed to rstan::sampling() and the sample() method of the cmdstanr Stan model via ... in the call to dynamite are now checked and unrecognized arguments will be ignored.
Added a new function get_parameter_dims() that returns the parameter dimensions of the Stan model for "dynamitefit" and "dynamiteformula" objects.
Group-level random effects are now supported also for categorical and multinomial channels.
Added a new vignette that describes how the package can be used to simulate data from a dynamic multivariate panel model.
Added a new vignette that describes how the default priors of the model parameters are defined.