Package: SingleCaseES 0.7.4

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.

Authors:James E. Pustejovsky [aut, cre], Man Chen [aut], Daniel M. Swan [aut], Paulina Grekov [ctb], Amy Cai [ctb]

SingleCaseES_0.7.4.tar.gz
SingleCaseES_0.7.4.zip(r-4.7)SingleCaseES_0.7.4.zip(r-4.6)SingleCaseES_0.7.4.zip(r-4.5)
SingleCaseES_0.7.4.tgz(r-4.6-any)SingleCaseES_0.7.4.tgz(r-4.5-any)
SingleCaseES_0.7.4.tar.gz(r-4.7-any)SingleCaseES_0.7.4.tar.gz(r-4.6-any)
SingleCaseES_0.7.4.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
SingleCaseES/json (API)

# Install 'SingleCaseES' in R:
install.packages('SingleCaseES', repos = c('https://jepusto.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/jepusto/singlecasees/issues

Pkgdown/docs site:https://jepusto.github.io

Datasets:

On CRAN:

Conda:

7.31 score 8 stars 1 packages 47 scripts 995 downloads 2 mentions 20 exports 20 dependencies

Last updated from:c40c3559b6. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK171
source / vignettesOK189
linux-release-x86_64OK181
macos-release-arm64OK107
macos-oldrel-arm64OK137
windows-develOK96
windows-releaseOK94
windows-oldrelOK79
wasm-releaseOK165

Exports:batch_calc_EScalc_EScalc_phase_pairsgem_scdIRDLORLRMLRRdLRRiNAPPANDPEMPNDPoGOSCD_effect_sizesshine_gem_scdSMDTauTau_BCTau_U

Dependencies:clicpp11dplyrgenericsgluelifecyclemagrittrpillarpkgconfigpurrrR6rlangstringistringrtibbletidyrtidyselectutf8vctrswithr

Basic effect sizes calculations using SingleCaseES
Individual effect size functions | Inputting data | Using the A_data, B_data inputs | Using the condition, outcome inputs | Direction of improvement | Standard error and confidence intervals | Other non-overlap indices | Further options for SMD() | Further options for log response ratios (LRRi() and LRRd()) | Outcome scale | Additional arguments | Further options for LOR() | calc_ES() | Further arguments | Long vs. wide format | batch_calc_ES() | Data organization | McKissick | Schmidt (2007) | Main arguments of batch_calc_ES() | Using grouping variables | Aggregating across replications | Dealing with outcome scales. | Output format | Suppressing warnings | Arguments to individual effect size functions | Order of observations | Specifying a baseline phase | Confidence levels | References
Rendered fromUsing-SingleCaseES.Rmdusingknitr::rmarkdown

Last update: 2024-09-06
Started: 2018-07-05

Effect size definitions and mathematical details
Notation | Non-overlap measures | NAP | Estimation | Standard errors | Confidence interval | PND | PEM | PAND | IRD | Tau | Confidence intervals | Tau-U | Tau-BC | Standard errors and confidence intervals | Parametric effect sizes | SMD | Baseline SD | Pooled SD | LRR | LRR-decreasing and LRR-increasing | LOR | LRM | PoGO | References
Rendered fromEffect-size-definitions.Rmdusingknitr::rmarkdown

Last update: 2023-02-08
Started: 2018-07-11