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: |
0.6.0 |
| Depends: |
nlme, R (≥ 3.0.1) |
| Imports: |
stats, readxl, lmeInfo (> 0.2.0) |
| Suggests: |
knitr, markdown, rmarkdown, ggplot2, plyr, boot, parallel, shiny, shinytest, glue, janitor, rclipboard, rvest, testthat |
| Published: |
2022-07-07 |
| 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 |
| Citation: |
scdhlm citation info |
| Materials: |
NEWS |
| CRAN checks: |
scdhlm results |
Documentation:
Downloads:
Reverse dependencies:
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