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asympTest: an R package for performing parametric statistical tests and confidence intervals based on the central limit theorem

Authors
  • Coeurjolly, Jean-François
  • Drouilhet, Rémy
  • De Micheaux, Pierre Lafaye
  • Robineau, Jean-Francois
Type
Preprint
Publication Date
Feb 27, 2009
Submission Date
Feb 03, 2009
Source
arXiv
License
Yellow
External links

Abstract

This paper describes an R package implementing large sample tests and confidence intervals (based on the central limit theorem) for various parameters. The one and two sample mean and variance contexts are considered. The statistics for all the tests are expressed in the same form, which facilitates their presentation. In the variance parameter cases, the asymptotic robustness of the classical tests depends on the departure of the data distribution from normality measured in terms of the kurtosis of the distribution.

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