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:
effectsizescr_0.1.0.tar.gz
effectsizescr_0.1.0.zip(r-4.5)effectsizescr_0.1.0.zip(r-4.4)effectsizescr_0.1.0.zip(r-4.3)
effectsizescr_0.1.0.tgz(r-4.4-any)effectsizescr_0.1.0.tgz(r-4.3-any)
effectsizescr_0.1.0.tar.gz(r-4.5-noble)effectsizescr_0.1.0.tar.gz(r-4.4-noble)
effectsizescr_0.1.0.tgz(r-4.4-emscripten)effectsizescr_0.1.0.tgz(r-4.3-emscripten)
effectsizescr.pdf |effectsizescr.html✨
effectsizescr/json (API)
# Install 'effectsizescr' in R: |
install.packages('effectsizescr', repos = c('https://unipateambehave.r-universe.dev', 'https://cloud.r-project.org')) |
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 7 years agofrom:a75ec2405b. Checks:OK: 7. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Nov 14 2024 |
R-4.5-win | OK | Nov 14 2024 |
R-4.5-linux | OK | Nov 14 2024 |
R-4.4-win | OK | Nov 14 2024 |
R-4.4-mac | OK | Nov 14 2024 |
R-4.3-win | OK | Nov 14 2024 |
R-4.3-mac | OK | Nov 14 2024 |
Exports:TAU
Readme and manuals
Help Manual
Help page | Topics |
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Parker's TAU-U | TAU |