Package: dixonTest 1.0.4

Thorsten Pohlert

dixonTest: Dixon's Ratio Test for Outlier Detection

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.

Authors:Thorsten Pohlert [aut, cre], George C. McBane [ctb]

dixonTest_1.0.4.tar.gz
dixonTest_1.0.4.zip(r-4.7-x86_64)dixonTest_1.0.4.zip(r-4.7-arm64)dixonTest_1.0.4.zip(r-4.6-x86_64)dixonTest_1.0.4.zip(r-4.6-arm64)
dixonTest_1.0.4.tar.gz(r-4.7-arm64)dixonTest_1.0.4.tar.gz(r-4.7-x86_64)dixonTest_1.0.4.tar.gz(r-4.6-arm64)dixonTest_1.0.4.tar.gz(r-4.6-x86_64)
dixonTest_1.0.4.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
dixonTest/json (API)

# Install 'dixonTest' in R:

install.packages('dixonTest', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))

On CRAN:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

1.48 score 1 packages 436 downloads 5 exports 0 dependencies

Last updated from:13e24cbce9. Checks:9 OK, 1 WARNING. Indexed: yes.

Target	Result	Time
linux-devel-arm64	OK	133
linux-devel-x86_64	OK	115
source / vignettes	OK	171
linux-release-arm64	OK	92
linux-release-x86_64	OK	106
windows-devel-arm64	OK	212
windows-devel-x86_64	OK	87
windows-release-arm64	WARNING	209
windows-release-x86_64	OK	76
wasm-release	OK	92