Package: ICC.Sample.Size 1.0
Alasdair Rathbone
ICC.Sample.Size: Calculation of Sample Size and Power for ICC
Provides functions to calculate the requisite sample size for studies where ICC is the primary outcome. Can also be used for calculation of power. In both cases it allows the user to test the impact of changing input variables by calculating the outcome for several different values of input variables. Based off the work of Zou. Zou, G. Y. (2012). Sample size formulas for estimating intraclass correlation coefficients with precision and assurance. Statistics in medicine, 31(29), 3972-3981.
Authors:
ICC.Sample.Size_1.0.tar.gz
ICC.Sample.Size_1.0.tar.gz(r-4.5-noble)ICC.Sample.Size_1.0.tar.gz(r-4.4-noble)
ICC.Sample.Size_1.0.tgz(r-4.4-emscripten)ICC.Sample.Size_1.0.tgz(r-4.3-emscripten)
ICC.Sample.Size.pdf |ICC.Sample.Size.html✨
ICC.Sample.Size/json (API)
| # Install 'ICC.Sample.Size' in R: |
| install.packages('ICC.Sample.Size', repos = c('https://cran.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 9 years agofrom:cb3b30e8cf. Checks:OK: 2. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Sep 12 2024 |
| R-4.5-linux | OK | Sep 12 2024 |
Exports:calculateAchievablep0calculateIccPowercalculateIccSampleSize
Dependencies:
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Calculation of Sample Size and Power for ICC | ICC.Sample.Size-package ICC.Sample.Size |
| Function to calculate largest p0 that the data are powered to test | calculateAchievablep0 |
| Function to calculate post-hoc power for ICC studies | calculateIccPower |
| Function to calculate sample size required for studies where ICC is primary outcome. | calculateIccSampleSize |