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This paper describes an R package implementing large sample tests andconfidence intervals (based on the central limit theorem) for variousparameters. The one and two sample mean and variance contexts are considered.The statistics for all the tests are expressed in the same form, whichfacilitates their presentation. In the variance parameter cases, the asymptoticrobustness of the classical tests depends on the departure of the datadistribution from normality measured in terms of the kurtosis of thedistribution.

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