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SingleCaseES
View on CRAN: Click
here
Download and install SingleCaseES package within the R console
Install from CRAN:
install.packages("SingleCaseES")
Install from Github:
library("remotes")
install_github("cran/SingleCaseES")
Install by package version:
library("remotes")
install_version("SingleCaseES", "0.7.3")
Attach the package and use:
library("SingleCaseES")
Maintained by
James E. Pustejovsky
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2018-07-31
Latest Update: 2023-08-12
Description:
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.
How to cite:
James E. Pustejovsky (2018). SingleCaseES: A Calculator for Single-Case Effect Sizes. R package version 0.7.3, https://cran.r-project.org/web/packages/SingleCaseES. Accessed 28 Jan. 2025.
Previous versions and publish date:
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Other R packages that SingleCaseES depends,
imports, suggests or enhances
Complete documentation for SingleCaseES
Functions, R codes and Examples using
the SingleCaseES R package
Some associated functions: IRD . LOR . LRM . LRR . McKissick . NAP . PAND . PEM . PND . SCD_effect_sizes . SMD . Schmidt2007 . Schmidt2012 . Shogren . Tau . Tau_BC . Tau_U . Thorne . Wright2012 . batch_calc_ES . calc_ES . calc_phase_pairs . gem_scd . shine_gem_scd .
Some associated R codes: SCD-effect-sizes.R . calculate-effect-sizes.R . data-documentation.R . data-processing.R . gradual-effects-model.R . non-overlap-measures.R . parametric-measures.R . Full SingleCaseES package functions and examples
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