Idealstan v0.5.0 Released

This version of idealstan employs several new outcomes/response distributions, including ordinal-graded response, Poisson (count) variables, Normal (continuous), Log-Normal (positive-continuous), and the latent space formulation of ideal point models. In addition, new time-varying processes are included that allow you to fit for any provided model random-walk and AR(1) (stationary) ideal points.

This version also includes the ability to fit hierarchical covariates for ideal points and also for discrimination parameters in either time-varying or static models.

Data is now handled in long data frames rather than matrices, which facilitates all of the new options.