[aut, cre],
George C. McBane [ctb]For outlier detection in small and normally distributed samples the ratio test of Dixon (Q-test) can be used. Density, distribution function, quantile function and random generation for Dixon's ratio statistics are provided as wrapper functions. The core applies McBane's Fortran functions <doi:10.18637/jss.v016.i03> that use Gaussian quadrature for a numerical solution.
| Version: | 1.0.2 |
| Published: | 2020-01-24 |
| Author: | Thorsten Pohlert
[aut, cre],
George C. McBane [ctb] |
| Maintainer: | Thorsten Pohlert <thorsten.pohlert at gmx.de> |
| License: | GPL-3 |
| NeedsCompilation: | yes |
| Materials: | NEWS |
| CRAN checks: | dixonTest results |
| Reference manual: | dixonTest.pdf |
| Package source: | dixonTest_1.0.2.tar.gz |
| Windows binaries: | r-devel: dixonTest_1.0.2.zip, r-release: dixonTest_1.0.2.zip, r-oldrel: dixonTest_1.0.2.zip |
| macOS binaries: | r-release: dixonTest_1.0.2.tgz, r-oldrel: dixonTest_1.0.2.tgz |
| Old sources: | dixonTest archive |
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