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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.
| Version: | 1.0.0 |
| Depends: | R (≥ 3.5) |
| Imports: | Rcpp, parallel, stats, microbenchmark, spatstat.geom, spatstat.explore, FNN, copula, mvtnorm, ggplot2, microbenchmark, MD2sample |
| LinkingTo: | Rcpp |
| Suggests: | rmarkdown, knitr |
| Published: | 2026-02-12 |
| DOI: | 10.32614/CRAN.package.MDgof (may not be active yet) |
| Author: | Wolfgang Rolke |
| Maintainer: | Wolfgang Rolke <wolfgang.rolke at upr.edu> |
| License: | GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
| NeedsCompilation: | yes |
| Materials: | NEWS |
| CRAN checks: | MDgof results |
| Reference manual: | MDgof.html , MDgof.pdf |
| Vignettes: |
MDgof-Case-Studies (source, R code) MDgof-Examples (source, R code) MDgof-Methods (source, R code) MDgof-hybrid (source, R code) |
| Package source: | MDgof_1.0.0.tar.gz |
| Windows binaries: | r-devel: not available, r-release: MDgof_1.0.0.zip, r-oldrel: MDgof_1.0.0.zip |
| macOS binaries: | r-release (arm64): MDgof_1.0.0.tgz, r-oldrel (arm64): MDgof_1.0.0.tgz, r-release (x86_64): MDgof_1.0.0.tgz, r-oldrel (x86_64): MDgof_1.0.0.tgz |
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These binaries (installable software) and packages are in development.
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