Estimating Hierarchical Linear Models for Single-Case Designs

Provides a set of tools for estimating hierarchical linear models and effect sizes based on data from single-case designs. Functions are provided for calculating standardized mean difference effect sizes that are directly comparable to standardized mean differences estimated from between-subjects randomized experiments, as described in Hedges, Pustejovsky, and Shadish (2012) ; Hedges, Pustejovsky, and Shadish (2013) ; Pustejovsky, Hedges, and Shadish (2014) ; and Chen, Pustejovsky, Klingbeil, and Van Norman (2023) . Includes an interactive web interface.