babebi: An R Package for Bayesian Estimation and Validation in Small-N Two-Rater Pre–Post Designs

babebi is an R package for analysing complete two-time, two-rater pre–post rating designs. The package estimates pre–post effects using a linear model with a rater indicator as covariate and provides adjusted estimates of change, posterior summaries, and BIC-based Bayes factor approximations. It also includes Monte Carlo validation routines calibrated from the observed design to evaluate inferential performance under study-specific conditions.