Various Methods for the Goodness-of-Fit Problem in D>1 Dimensions R package MDgof version 1.2.1 Provides multivariate goodness-of-fit testing with a common interface for several test statistics. Null models may be simple or include parameter estimation, with p-values obtained by parametric bootstrap simulation. The function gof_test_adjusted_pvalue() combines several tests and computes a p-value adjusted for simultaneous inference. The function gof_power() estimates test power. The functions hybrid_test() and hybrid_power() use Monte Carlo samples under the null together with two-sample procedures. The function run.studies() supports systematic power comparisons of user-supplied and included methods across case studies. See the included vignettes for method details and references. Software Depends: R (>= 3.5) Imports: Rcpp, parallel, stats, microbenchmark, spatstat.geom, spatstat.explore, FNN, copula, mvtnorm, ggplot2, MD2sample (>= 1.4.0) LinkingTo: Rcpp Suggests: rmarkdown, knitr, testthat (>= 3.0.0) Wolfgang Rolke <wolfgang.rolke@upr.edu> Comprehensive R Archive Network (CRAN) Wolfgang Rolke [aut, cre] (ORCID: <https://orcid.org/0000-0002-3514-726X>) GPL (>= 2) 2026-10-14 application/tgz https://CRAN.R-project.org/package=MDgof doi:10.32614/CRAN.package.MDgof