Package: ssanv 1.1
Michael P. Fay
ssanv: Sample Size Adjusted for Nonadherence or Variability of Input Parameters
A set of functions to calculate sample size for two-sample difference in means tests. Does adjustments for either nonadherence or variability that comes from using data to estimate parameters.
Authors:
ssanv_1.1.tar.gz
ssanv_1.1.tar.gz(r-4.5-noble)ssanv_1.1.tar.gz(r-4.4-noble)
ssanv_1.1.tgz(r-4.4-emscripten)ssanv_1.1.tgz(r-4.3-emscripten)
ssanv.pdf |ssanv.html✨
ssanv/json (API)
# Install 'ssanv' in R: |
install.packages('ssanv', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
Datasets:
- example.of.Fisher.exact - Object of class 'power.htest'
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:7d1b81f163. Checks:OK: 2. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Nov 11 2024 |
R-4.5-linux | OK | Nov 11 2024 |
Exports:find.calibrated.betass.fromdata.neffss.fromdata.nvarss.fromdata.poisss.nonadhuniroot.integer
Dependencies:
Readme and manuals
Help Manual
Help page | Topics |
---|---|
Sample Size Adjusted for Nonadherence or Variability of Input Parameters | ssanv-package ssanv |
Object of class `power.htest' | example.of.Fisher.exact |
Find calibrated beta | find.calibrated.beta |
Find sample sizes when normal standardized difference is estimated from data | ss.fromdata.neff |
Find sample sizes when normal standard deviation is estimated from data | ss.fromdata.nvar |
Find sample sizes when 2 Poisson means are estimated from data | ss.fromdata.pois |
Find sample sizes accounting for nonadherence | ss.nonadh |
Find the root of a function to the nearest integer | uniroot.integer |