Package: mvGoF 0.0.0.9000

Andreas Maendle

mvGoF: Assessing a multivariate goodness of fit

Functions for the computation of several goodness of fit statistics. Currently impemented are multivariate versions of well known EDF statistics: The Anderson-Darling and Cramer-von Mises statistics for multivariate uniformly(0,1) distributed data and the bivariate Kolmogorov- Smirnov statistic for (0,1) distributed data. Further Rosenblatt's transformation for multivariate normally distributed data is implemented, such that these tests can be applied as a test for normality.

Authors:Andreas Maendle [aut, cre]

mvGoF_0.0.0.9000.tar.gz
mvGoF_0.0.0.9000.zip(r-4.7)mvGoF_0.0.0.9000.zip(r-4.6)mvGoF_0.0.0.9000.zip(r-4.5)
mvGoF_0.0.0.9000.tgz(r-4.6-any)mvGoF_0.0.0.9000.tgz(r-4.5-any)
mvGoF_0.0.0.9000.tar.gz(r-4.7-any)mvGoF_0.0.0.9000.tar.gz(r-4.6-any)
mvGoF_0.0.0.9000.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
mvGoF/json (API)

# Install 'mvGoF' in R:
install.packages('mvGoF', repos = c('https://amaendle.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/amaendle/mvgof/issues

On CRAN:

Conda:

1.00 score 1 stars 12 exports 17 dependencies

Last updated from:8a226fa595. Checks:7 NOTE, 2 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64NOTE205
source / vignettesOK167
linux-release-x86_64NOTE249
macos-release-arm64NOTE206
macos-oldrel-arm64NOTE249
windows-develNOTE180
windows-releaseNOTE166
windows-oldrelNOTE179
wasm-releaseOK96

Exports:AD.cvalAD.quantilesAD.statbiKS.statCvM.cvalCvM.quantilesCvM.statKS.cvalKS.quantilesKSa.statrosenblatt.normstat.MC

Dependencies:ADGofTestclustercodetoolscolorspacecopuladoParallelforeachgsliteratorslatticeMASSMatrixmvtnormnumDerivpcaPPpsplinestabledist