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:Cqls Team

asympTest_0.1.4.tar.gz
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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'))

Peer review:

Datasets:
  • DIGdata - DIG NHLBI Teaching Dataset

On CRAN:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

8 exports 0.00 score 0 dependencies 9 scripts 212 downloads

Last updated 6 years agofrom:476e78959d. Checks:OK: 7. Indexed: yes.

TargetResultDate
Doc / VignettesOKSep 02 2024
R-4.5-winOKSep 02 2024
R-4.5-linuxOKSep 02 2024
R-4.4-winOKSep 02 2024
R-4.4-macOKSep 02 2024
R-4.3-winOKSep 02 2024
R-4.3-macOKSep 02 2024

Exports:asymp.testseDMeanseDMeanGseDVarseMeanseRMeanseRVarseVar

Dependencies:

Readme and manuals

Help Manual

Help pageTopics
Asymptotic testsasymp.test asymp.test.default asymp.test.formula
DIG NHLBI Teaching DatasetDIGdata
se functionsseDMean seDMean.default seDMeanG seDMeanG.default seDVar seDVar.default seMean seMean.default seRMean seRMean.default seRVar seRVar.default seVar seVar.default