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 |
DOI: |
10.32614/CRAN.package.scdhlm |
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:
Downloads:
Reverse dependencies:
Linking:
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