Changes in version 0.8 (2025-02-03) - add plot_heiss function to examine how scale components change given levels of a factor - add prior_manual option to allow for a complete over-ride of priors in the model (enables cutpoint modeling) - add posterior_epred_ordbeta function to allow for predicting the different components of the scale (bottom, middle and top) - update vignette with sections on power analysis and modeling cutpoints - assorted bug fixes to multivariate/missing data modeling Changes in version 0.7.3.1 - removed transformr from imports because of many dependencies - fixed bug if the intercept was specified and centered due to brms code change - fixed bug that prevented the make_stancode option from working. changed that option to return_stancode - fixed pp_check_ordbeta for multivariate DVs Changes in version 0.7.2 (2023-08-10) - glmmTMB no longer has standard errors from the marginaleffects package. Updated vignette to reflect this. Changes in version 0.7.1 (2023-03-15) - Removed dependency on faux as faux was taken off CRAN. This also means the sim_ordbeta function cannot generate correlated covariates. - Fixed a bug with the transform option to the slopes function in marginaleffects in the vignette. - marginaleffects now supports standard errors for ordered beta regression models in glmmTMB, so vignette was updated to reflect this. Changes in version 0.7.0 (2023-02-12) - Allow intercepts to receive separate priors from main effects (permitting zero-ing out intercepts). - Changed log-likelihood calculation to match brms documentation and permit point-wise loo calculation. - Added animated density plots for continuous responses. - Improved plot formatting and added theme and label options. - Updated vignette to include information about glmmTMB as an alternative for estimation and new plot functions. - Added distribution rordbeta and dordbeta functions. - Removed legacy 0 + Intercept function code. Now accepts any kind of formula. Changes in version 0.5.0 (2022-10-25) - Fixed bug disabling extra priors for phi regression/modeling. - Added pp_check_ordbetareg function for accurate posterior predictive plots for discrete and continuous outcomes. - Updated vignette and documentation. Changes in version 0.3.0 - Fixed bugs relating to processing of bounded outcomes. - Allow for user-specific bounds to be set for normalization of outcome to 0/1 (issue #2). - Enable multiple imputation and multivariate responses with brms. - Fix documentation issues (issues #4 and #5). Changes in version 0.2.1 (2022-02-25) - Added RNG code for the induced_dirichlet prior on cutpoints to allow for the sample_prior option to work with brm, allowing for Bayes factors and other post-estimation tools with the bridgesampling package (issue #1). - Fixed error in terms of correctly accounting for reverse transform of the ordered cutpoint vector. - Made the ldpf function more stable by using logs instead of direct multiplication. - Fixed typos in the vignette. Changes in version 0.2 - Initial release.