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.

Version: 0.1.4
Depends: R (≥ 1.8.0)
Published: 2018-05-10
Author: Cqls Team
Maintainer: Pierre Lafaye de Micheaux <lafaye at unsw.edu.au>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
URL: https://www.r-project.org
NeedsCompilation: no
Citation: asympTest citation info
CRAN checks: asympTest results

Documentation:

Reference manual: asympTest.pdf

Downloads:

Package source: asympTest_0.1.4.tar.gz
Windows binaries: r-devel: asympTest_0.1.4.zip, r-release: asympTest_0.1.4.zip, r-oldrel: asympTest_0.1.4.zip
macOS binaries: r-release (arm64): asympTest_0.1.4.tgz, r-oldrel (arm64): asympTest_0.1.4.tgz, r-release (x86_64): asympTest_0.1.4.tgz
Old sources: asympTest archive

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