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
Show author detailsRolesAuthor
Insights
Last 30 days
This package has been downloaded 734 times in the last 30 days. Not bad! The download count is somewhere between 'small-town buzz' and 'moderate academic conference'. The following heatmap shows the distribution of downloads per day. Yesterday, it was downloaded 33 times.
The following line graph shows the downloads per day. You can hover over the graph to see the exact number of downloads per day.
Last 365 days
This package has been downloaded 9,724 times in the last 365 days. A solid achievement! Enough downloads to get noticed at department meetings. The day with the most downloads was Nov 05, 2024 with 81 downloads.
The following line graph shows the downloads per day. You can hover over the graph to see the exact number of downloads per day.
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Dependencies
- Depends1 package
- Imports6 packages
- Suggests13 packages
- Reverse Suggests1 package