NEWS.md

In ordbetareg: Ordered Beta Regression Models with 'brms'

ordbetareg v0.8

• 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

ordbetareg v0.7.3.1

• 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

ordbetareg v0.7.2

• glmmTMB no longer has standard errors from the marginaleffects package. Updated vignette to reflect this.

ordbetareg v0.7.1

• 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.

ordbetareg v0.7.0

• 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.

ordbetareg v0.5.0

• 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.

ordbetareg v0.3.0

• 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).

ordbetareg v0.2.1

• 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.

ordbetareg v0.2

• Initial release.

ordbetareg documentation built on April 4, 2025, 2:19 a.m.