Package: effectsizescr 0.1.0

effectsizescr: Indices for Single-Case Research

Parametric and nonparametric statistics for single-case design. Regarding nonparametric statistics, the index suggested by Parker, Vannest, Davis and Sauber (2011) <doi:10.1016/j.beth.2010.08.006> was included. It combines both nonoverlap and trend to estimate the effect size of a treatment in a single case design.

Authors:Isabella Giammusso

effectsizescr_0.1.0.tar.gz
effectsizescr_0.1.0.zip(r-4.7)effectsizescr_0.1.0.zip(r-4.6)effectsizescr_0.1.0.zip(r-4.5)
effectsizescr_0.1.0.tgz(r-4.6-any)effectsizescr_0.1.0.tgz(r-4.5-any)
effectsizescr_0.1.0.tar.gz(r-4.7-any)effectsizescr_0.1.0.tar.gz(r-4.6-any)
effectsizescr_0.1.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
effectsizescr/json (API)

# Install 'effectsizescr' in R:

install.packages('effectsizescr', repos = c('https://unipateambehave.r-universe.dev', 'https://cloud.r-project.org'))

On CRAN:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

1.00 score 1 scripts 180 downloads 1 exports 2 dependencies

Last updated from:a75ec2405b. Checks:9 OK. Indexed: yes.

Target	Result	Time
linux-devel-x86_64	OK	100
source / vignettes	OK	184
linux-release-x86_64	OK	84
macos-release-arm64	OK	152
macos-oldrel-arm64	OK	139
windows-devel	OK	111
windows-release	OK	96
windows-oldrel	OK	58
wasm-release	OK	86