Package: asympTest 0.1.4
asympTest: A Simple R Package for Classical Parametric Statistical Tests and Confidence Intervals in Large Samples
One and two sample mean and variance tests (differences and ratios) are considered. The test statistics are all expressed in the same form as the Student t-test, which facilitates their presentation in the classroom. This contribution also fills the gap of a robust (to non-normality) alternative to the chi-square single variance test for large samples, since no such procedure is implemented in standard statistical software.
Authors:
asympTest_0.1.4.tar.gz
asympTest_0.1.4.zip(r-4.5)asympTest_0.1.4.zip(r-4.4)asympTest_0.1.4.zip(r-4.3)
asympTest_0.1.4.tgz(r-4.4-any)asympTest_0.1.4.tgz(r-4.3-any)
asympTest_0.1.4.tar.gz(r-4.5-noble)asympTest_0.1.4.tar.gz(r-4.4-noble)
asympTest_0.1.4.tgz(r-4.4-emscripten)asympTest_0.1.4.tgz(r-4.3-emscripten)
asympTest.pdf |asympTest.html✨
asympTest/json (API)
| # Install 'asympTest' in R: |
| install.packages('asympTest', repos = c('https://lafaye.r-universe.dev', 'https://cloud.r-project.org')) |
- DIGdata - DIG NHLBI Teaching Dataset
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:476e78959d. 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 |
Exports:asymp.testseDMeanseDMeanGseDVarseMeanseRMeanseRVarseVar
Dependencies:
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Asymptotic tests | asymp.test asymp.test.default asymp.test.formula |
| DIG NHLBI Teaching Dataset | DIGdata |
| se functions | seDMean seDMean.default seDMeanG seDMeanG.default seDVar seDVar.default seMean seMean.default seRMean seRMean.default seRVar seRVar.default seVar seVar.default |
