Estimating Hierarchical Linear Models for Single-Case Designs
A convenience function for calculating multiple design-comparable effe...
A convenience function for calculating design comparable effect sizes
Calculates a confidence interval for a standardized mean difference ef...
Run simulation comparing REML and HPS estimates
Calculate default initial treatment time and follow-up time.
Create a design matrix for a single-case design
Calculates HPS effect size
Calculates HPS effect size
Calculates adjusted REML effect size
Graph Single Case Design Data
Calculate expected information matrix
lmeInfo
MB1 simulation time
MB2 simulation time
MB4 simulation time
Calculate phase-pairs for a unique case
Clean Single Case Design Data
Calculate session-by-treatment interactions for a unique case
A shiny interface for the scdhlm package
Simulate data from a fitted g_REML object
Simulate Model MB2 from Pustejovsky, Hedges, & Shadish (2014)
Simulate Model MB4 from Pustejovsky, Hedges, & Shadish (2014)
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) <DOI:10.1002/jrsm.1052>; Hedges, Pustejovsky, and Shadish (2013) <DOI:10.1002/jrsm.1086>; Pustejovsky, Hedges, and Shadish (2014) <DOI:10.3102/1076998614547577>; and Chen, Pustejovsky, Klingbeil, and Van Norman (2023) <DOI:10.1016/j.jsp.2023.02.002>. Includes an interactive web interface.