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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.

Version: 0.7.3
Depends: nlme, R (≥ 3.0.1)
Imports: stats, utils, readxl, rlang, dplyr, tidyselect, magrittr, lmeInfo (≥ 0.3.0)
Suggests: knitr, markdown, rmarkdown, ggplot2, plyr, boot, parallel, shiny, shinytest, glue, janitor, rclipboard, rvest, testthat
Published: 2024-02-25
Author: James Pustejovsky [aut, cre], Man Chen [aut], Bethany Hamilton [aut]
Maintainer: James Pustejovsky <jepusto at gmail.com>
BugReports: https://github.com/jepusto/scdhlm/issues
License: GPL-3
URL: https://jepusto.github.io/scdhlm/
NeedsCompilation: no
Language: en-US
Materials: NEWS
CRAN checks: scdhlm results

Documentation:

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

Downloads:

Package source: scdhlm_0.7.3.tar.gz
Windows binaries: r-devel: scdhlm_0.7.3.zip, r-release: scdhlm_0.7.3.zip, r-oldrel: scdhlm_0.7.3.zip
macOS binaries: r-release (arm64): scdhlm_0.7.3.tgz, r-oldrel (arm64): scdhlm_0.7.3.tgz, r-release (x86_64): scdhlm_0.7.3.tgz, r-oldrel (x86_64): scdhlm_0.7.3.tgz
Old sources: scdhlm archive

Reverse dependencies:

Reverse suggests: lmeInfo

Linking:

Please use the canonical form https://CRAN.R-project.org/package=scdhlm to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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