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MDgof

1.1.0

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

0packages depend
1.7Kdownloads / year
36.5%test coverage
13/13checks pass

Overview

About
Maintained by Wolfgang RolkeFirst published 2026-02-124 releasesCRAN page ↗

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.

Install

Health

CRAN checks
13OK
Slowest check: 6.9 min · r-devel-windows-x86_64
Code health
Yes
Tests · ratio 0.07
36.5%
Coverage · measured lines
100%
Documentation · exports
11
Dependencies · direct
Check history
  • OK2026-08-05
    13 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
  • NOTE2026-08-01
    12 OK · 1 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
  • OK2026-05-02
    13 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
  • NOTE2026-04-22
    11 OK · 3 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
  • ERROR2026-04-18
    10 OK · 3 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE
Show 1 earlier snapshots
  • NOTE2026-03-10
    11 OK · 3 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE

Documentation

Documentation
READMENoVignettesYes · dynamicpkgdown siteNoNEWSYes · 67% structuredCode of conductNoContributing guideNo
Examples that run
100%
Documented parameters
95%
Return-value docs
100%
References docs
0%

Downloads

1.7K
CRAN downloads in the past year
Rank #9,259 · ~5/day · ~143/mo
Daily download trend is not available in this view yet.
28630 days
1K90 days
1.7K1 year
Compare downloads with other packages →
Also on206 r2u14 autocran

Dependencies

Declared dependencies
14 external dependencies (excludes base and recommended)
Depends (1)
R >= 3.5
LinkingTo (1)
Enhances (0)
none
Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

Code & Tests

People & History

People (1)
Maintainer (1)
Author, Maintainer
Authors (1)
Author, Maintainer
Package Timeline

4 releases. Pick two to compare their code metrics. R releases are shown for context.

  • 1.1.0Latest
    2026-08-04 · current release · diff ↗
  • 1.0.2
    2026-06-26 · diff ↗
  • 1.0.1
    2026-06-03 · diff ↗
  • R
    R 4.6.0 released · 2026-04-24
  • 1.0.0
    2026-03-10
  • R
    R 4.5.0 released · 2025-04-11

Package metadata

First published
2026-02-12
Total releases
4 / 1 yrs
License
GPL (>= 2) OSI
Minimum R
≥ 3.5
Bundled data
31 KB / 13 files
Download size
175 KB
Installed size
not tracked yet
With dependencies
not tracked yet

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("MDgof")
Rolke, W. (2026). MDgof: Various Methods for the Goodness-of-Fit Problem in D>1 Dimensions (Version 1.1.0) [Computer software]. https://doi.org/10.32614/CRAN.package.MDgof

This is what citation() produces when a package has no citation file of its own. If it prints something else, use that.

Cite the R Observatory

For a number measured here: a download total, a coverage figure, an archival date.

APA

Balamuta, J. J. (2026). R Observatory: Metrics for MDgof version 1.1.0 [Data set]. HJJB, LLC. Data release v2026-08-15. https://doi.org/10.5281/zenodo.21843040

From data release v2026-08-15, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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