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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.
Package details |
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Author | Cqls Team |
Maintainer | Pierre Lafaye de Micheaux <lafaye@unsw.edu.au> |
License | GPL (>= 2) |
Version | 0.1.4 |
URL | https://www.r-project.org |
Package repository | View on CRAN |
Installation |
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