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scdhlm  

Estimating Hierarchical Linear Models for Single-Case Designs
View on CRAN: Click here


Download and install scdhlm package within the R console
Install from CRAN:
install.packages("scdhlm")

Install from Github:
library("remotes")
install_github("cran/scdhlm")

Install by package version:
library("remotes")
install_version("scdhlm", "0.7.3")



Attach the package and use:
library("scdhlm")
Maintained by
James Pustejovsky
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2016-09-27
Latest Update: 2023-03-12
Description:
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) ; Hedges, Pustejovsky, and Shadish (2013) ; Pustejovsky, Hedges, and Shadish (2014) ; and Chen, Pustejovsky, Klingbeil, and Van Norman (2023) . Includes an interactive web interface.
How to cite:
James Pustejovsky (2016). scdhlm: Estimating Hierarchical Linear Models for Single-Case Designs. R package version 0.7.3, https://cran.r-project.org/web/packages/scdhlm. Accessed 21 Apr. 2025.
Previous versions and publish date:
0.3.1 (2016-12-20 18:31), 0.3.2 (2020-04-09 06:30), 0.3 (2016-09-27 21:29), 0.5.0 (2020-11-08 17:00), 0.5.1 (2020-12-01 01:30), 0.5.2 (2021-01-07 20:30), 0.6.0 (2022-07-08 00:20), 0.7.0 (2022-11-07 17:40), 0.7.1 (2023-01-10 10:10), 0.7.2 (2023-03-12 11:30)
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Complete documentation for scdhlm
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