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MDgof

Various Methods for the Goodness-of-Fit Problem in D>1 Dimensions

v1.0.2 · Jun 25, 2026 · GPL (>= 2)

Description

The routine gof_test() in this package runs the goodness-of-fit test using various test statistic for multivariate data. Models under the null hypothesis can either be simple or allow for parameter estimation. p values are found via the parametric bootstrap (simulation). The routine gof_test_adjusted_pvalues() runs several tests and then finds a p value adjusted for simultaneous inference. The routine gof_power() allows the estimation of the power of the tests. hybrid_test() and hybrid_power() do the same by first generating a Monte Carlo data set under the null hypothesis and then running a number of two-sample methods. The routine run.studies() allows a user to quickly study the power of a new method and how it compares to those included in the package via a large number of case studies. For details of the methods and references see the included vignettes.

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r-devel-linux-x86_64-fedora-clang OK
r-devel-linux-x86_64-fedora-gcc OK
r-devel-windows-x86_64 OK
r-oldrel-macos-arm64 OK
r-oldrel-macos-x86_64 OK
r-oldrel-windows-x86_64 OK
r-patched-linux-x86_64 OK
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r-release-macos-arm64 OK
r-release-macos-x86_64 OK
r-release-windows-x86_64 OK

Check History

OK 13 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE May 2, 2026
NOTE 11 OK · 3 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE Apr 22, 2026
NOTE r-oldrel-macos-arm64

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ERROR 10 OK · 3 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE Apr 18, 2026
ERROR r-devel-windows-x86_64

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Installation failed.
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NOTE 11 OK · 3 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE Mar 10, 2026
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Dependency Network

Dependencies Reverse dependencies Rcpp microbenchmark spatstat.geom spatstat.explore FNN copula mvtnorm ggplot2 MD2sample MDgof

Version History

3 tracked
updated 1.0.2 ← 1.0.1 diff Jun 25, 2026
updated 1.0.1 ← 1.0.0 diff Jun 3, 2026
new 1.0.0 Mar 10, 2026

R Observatory began tracking this package on Mar 10, 2026; it first appeared on CRAN Feb 12, 2026. Releases before tracking aren’t shown.