Package: minsample2 0.1.0
minsample2: The Minimum Sample Size
Using this package, one can determine the minimum sample size required so that the mean square error of the sample mean and the population mean of a distribution becomes less than some pre-determined epsilon, i.e. it helps the user to determine the minimum sample size required to attain the pre-fixed precision level by minimizing the difference between the sample mean and population mean.
Authors:
minsample2_0.1.0.tar.gz
minsample2_0.1.0.zip(r-4.5)minsample2_0.1.0.zip(r-4.4)minsample2_0.1.0.zip(r-4.3)
minsample2_0.1.0.tgz(r-4.4-any)minsample2_0.1.0.tgz(r-4.3-any)
minsample2_0.1.0.tar.gz(r-4.5-noble)minsample2_0.1.0.tar.gz(r-4.4-noble)
minsample2_0.1.0.tgz(r-4.4-emscripten)minsample2_0.1.0.tgz(r-4.3-emscripten)
minsample2.pdf |minsample2.html✨
minsample2/json (API)
| # Install 'minsample2' in R: |
| install.packages('minsample2', repos = c('https://anik4322.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 2 years agofrom:1659a3645f. Checks:OK: 7. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Oct 31 2024 |
| R-4.5-win | OK | Oct 31 2024 |
| R-4.5-linux | OK | Oct 31 2024 |
| R-4.4-win | OK | Oct 31 2024 |
| R-4.4-mac | OK | Oct 31 2024 |
| R-4.3-win | OK | Oct 31 2024 |
| R-4.3-mac | OK | Oct 31 2024 |
Dependencies:
