Bayesian Single-Case Design Analysis • scdbayes

Bayesian multilevel modeling for single-case experimental designs using brms and Stan. Fit piecewise regression models with random effects, compute posterior-based effect sizes, and assess consistency of effects across cases. Supports AB, reversal (ABAB), multiple baseline, multiple probe, alternating treatment, and changing criterion designs. Handles 2-level through 4+ level hierarchical structures for single-study and meta-analytic datasets.

Installation

The development version from GitHub with:

install.packages("devtools")
devtools::install_github("mshin77/scdbayes")

Load the scdbayes Package

library(scdbayes)

Alternatively, Launch and Browse the Shiny App

Access the web app at https://www.scdbayes.org.

Launch and browse the app on the local computer:

run_app()

Getting Started

See the Single-Case Design, Meta-Analysis, and Power Analysis articles.

Citation

Shin, M. (2026). scdbayes: Bayesian single-case design analysis (R package version 0.1.0) [Computer software]. https://mshin77.github.io/scdbayes
Shin, M. (2026). scdbayes: Bayesian single-case design analysis [Web application]. https://www.scdbayes.org