scdhlm: 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) <DOI:10.1002/jrsm.1052>; Hedges, Pustejovsky, and Shadish (2013) <DOI:10.1002/jrsm.1086>; and Pustejovsky, Hedges, and Shadish (2014) <DOI:10.3102/1076998614547577>. Includes an interactive web interface.

Package details

AuthorJames Pustejovsky [aut, cre], Man Chen [aut], Bethany Hamilton [aut]
MaintainerJames Pustejovsky <>
Package repositoryView on CRAN
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scdhlm documentation built on Jan. 13, 2021, 7:10 p.m.