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
asympTest_0.1.4.zip(r-4.7)asympTest_0.1.4.zip(r-4.6)asympTest_0.1.4.zip(r-4.5)
asympTest_0.1.4.tgz(r-4.6-any)asympTest_0.1.4.tgz(r-4.5-any)
asympTest_0.1.4.tar.gz(r-4.7-any)asympTest_0.1.4.tar.gz(r-4.6-any)
asympTest_0.1.4.tgz(r-4.6-emscripten)
manual.pdf |manual.html
DESCRIPTION
card.svg |card.png
asympTest/json (API)

# Install 'asympTest' in R:
install.packages('asympTest', repos = c('https://lafaye.r-universe.dev', 'https://cloud.r-project.org'))
Datasets:
  • DIGdata - DIG NHLBI Teaching Dataset

On CRAN:

Conda:

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

1.04 score 11 scripts 425 downloads 8 exports 0 dependencies

Last updated from:476e78959d. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK103
source / vignettesOK121
linux-release-x86_64OK92
macos-release-arm64OK98
macos-oldrel-arm64OK77
windows-develOK70
windows-releaseOK61
windows-oldrelOK65
wasm-releaseOK84

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