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.
- Version0.7.3
- R versionunknown
- LicenseGPL-3
- Needs compilation?No
- Languageen-US
- Last release02/25/2024
Documentation
Team
James Pustejovsky
Man Chen
Show author detailsRolesAuthorBethany Hamilton
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- Depends1 package
- Imports6 packages
- Suggests13 packages
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