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.

Version: 0.5.2
Depends: nlme, R (≥ 3.0.1)
Imports: stats, readxl, lmeInfo
Suggests: knitr, markdown, rmarkdown, ggplot2, plyr, boot, parallel, shiny, glue, janitor, rclipboard, testthat
Published: 2021-01-07
Author: James Pustejovsky [aut, cre], Man Chen [aut], Bethany Hamilton [aut]
Maintainer: James Pustejovsky <jepusto at>
License: GPL-3
NeedsCompilation: no
Language: en-US
Citation: scdhlm citation info
Materials: NEWS
CRAN checks: scdhlm results


Reference manual: scdhlm.pdf
Vignettes: "Estimating design-comparable standardized mean differences with scdhlm"


Package source: scdhlm_0.5.2.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): scdhlm_0.5.2.tgz, r-release (x86_64): scdhlm_0.5.2.tgz, r-oldrel: scdhlm_0.5.2.tgz
Old sources: scdhlm archive

Reverse dependencies:

Reverse suggests: lmeInfo


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