SingleCaseES: A Calculator for Single-Case Effect Sizes

Provides R functions for calculating basic effect size indices for single-case designs, including several non-overlap measures and parametric effect size measures, and for estimating the gradual effects model developed by Swan and Pustejovsky (2018) <doi:10.1080/00273171.2018.1466681>. Standard errors and confidence intervals (based on the assumption that the outcome measurements are mutually independent) are provided for the subset of effect sizes indices with known sampling distributions.

Version: 0.7.2
Imports: stats, purrr, magrittr, dplyr, tidyr, rlang, tidyselect, utils
Suggests: spelling, shiny, shinytest, stringr, rvest, xml2, ggplot2, purrrlyr, testthat, markdown, knitr, rmarkdown, cleanrmd, Kendall, kableExtra, covr, readxl, glue, janitor, rclipboard
Published: 2023-08-12
DOI: 10.32614/CRAN.package.SingleCaseES
Author: James E. Pustejovsky [aut, cre], Man Chen [aut], Daniel M. Swan [aut], Paulina Grekov [ctb]
Maintainer: James E. Pustejovsky <jepusto at>
License: GPL-3
NeedsCompilation: no
Language: en-US
Materials: NEWS
In views: MetaAnalysis
CRAN checks: SingleCaseES results


Reference manual: SingleCaseES.pdf
Vignettes: Effect size definitions and mathematical details
Basic effect sizes calculations using SingleCaseES


Package source: SingleCaseES_0.7.2.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): SingleCaseES_0.7.2.tgz, r-oldrel (arm64): SingleCaseES_0.7.2.tgz, r-release (x86_64): SingleCaseES_0.7.2.tgz, r-oldrel (x86_64): SingleCaseES_0.7.2.tgz
Old sources: SingleCaseES archive

Reverse dependencies:

Reverse imports: SSDforR


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