The R Journal: article published in 2009, volume 1:2

asympTest: A Simple R Package for Classical Parametric Statistical Tests and Confidence Intervals in Large Samples
J.-F. Coeurjolly, R. Drouilhet, P. Lafaye de Micheaux and J.-F. Robineau , The R Journal (2009) 1:2, pages 26-30.

Abstract asympTest is an R package implementing large sample tests and confidence intervals. 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.

CRAN packages: asympTest, asympTest, asympTest

@article{RJ-2009-015,
  author = {J.-F. Coeurjolly and R. Drouilhet and P. Lafaye de Micheaux
          and J.-F. Robineau},
  title = {{asympTest: A Simple R Package for Classical Parametric
          Statistical Tests and Confidence Intervals in Large Samples}},
  year = {2009},
  journal = {{The R Journal}},
  doi = {10.32614/RJ-2009-015},
  url = {https://doi.org/10.32614/RJ-2009-015},
  pages = {26--30},
  volume = {1},
  number = {2}
}