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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>; 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.
Browse package contents
Package details |
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| Author | James Pustejovsky [aut, cre], Man Chen [aut], Bethany Hamilton [aut] |
| Maintainer | James Pustejovsky <jepusto@gmail.com> |
| License | GPL-3 |
| Version | 0.7.3 |
| URL | https://jepusto.github.io/scdhlm/ |
| Package repository | View on CRAN |
| Installation |
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