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: | 1.0.4 | 
| Published: | 2022-08-22 | 
| DOI: | 10.32614/CRAN.package.dixonTest | 
| Author: | Thorsten Pohlert | 
| Maintainer: | Thorsten Pohlert <thorsten.pohlert at gmx.de> | 
| License: | GPL-3 | 
| NeedsCompilation: | yes | 
| Materials: | NEWS | 
| In views: | AnomalyDetection | 
| CRAN checks: | dixonTest results | 
| Reference manual: | dixonTest.html , dixonTest.pdf | 
| Package source: | dixonTest_1.0.4.tar.gz | 
| Windows binaries: | r-devel: dixonTest_1.0.4.zip, r-release: dixonTest_1.0.4.zip, r-oldrel: dixonTest_1.0.4.zip | 
| macOS binaries: | r-release (arm64): dixonTest_1.0.4.tgz, r-oldrel (arm64): dixonTest_1.0.4.tgz, r-release (x86_64): dixonTest_1.0.4.tgz, r-oldrel (x86_64): dixonTest_1.0.4.tgz | 
| Old sources: | dixonTest archive | 
| Reverse imports: | BEclear | 
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