1. The mcci Function | (1) Key Arguments in the mcci Function | (2) Plots Provided by the Function | 2. The od Functions | 3. The plot.power.eq Function | 4. The power Functions | 5. Examples | (1) MCCI Example | (2) Power Analysis Example | Conventional Power Analysis | Power Analysis with Costs | Power Curve Under the Same Budget: Statistical Power is Maximized at the Optimal Allocation
Package: anomo 1.3.2
anomo: Analysis of Moderation, Statistical Power, and Optimal Design for Studies Detecting Difference and Equivalence
Analysis of moderation (ANOMO) method conceptualizes the difference and equivalence tests as a moderation problem to test the difference and equivalence of two estimates (e.g., two means or two effects).
Authors:
anomo_1.3.2.tar.gz
anomo_1.3.2.zip(r-4.7-any)anomo_1.3.2.zip(r-4.6-any)anomo_1.3.2.zip(r-4.5-any)
anomo_1.3.2.tgz(r-4.6-any)anomo_1.3.2.tgz(r-4.5-any)
anomo_1.3.2.tar.gz(r-4.7-any)anomo_1.3.2.tar.gz(r-4.6-any)
anomo_1.3.2.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
anomo/json (API)
| # Install 'anomo' in R: |
| install.packages('anomo', repos = c('https://zuchaoshen.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/zuchaoshen/anomo/issues
Last updated from:788a8eb139. Checks:9 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel | OK | 100 | ||
| source / vignettes | OK | 181 | ||
| linux-release | OK | 146 | ||
| macos-release | OK | 85 | ||
| macos-oldrel | OK | 96 | ||
| windows-devel | OK | 65 | ||
| windows-release | OK | 67 | ||
| windows-oldrel | OK | 66 | ||
| wasm-release | OK | 76 |
Exports:mcciod.1.eqplot.power.eqpower.1.eqre
Dependencies:
