Package: MDgof
Title: Various Methods for the Goodness-of-Fit Problem in D>1
        Dimensions
Version: 1.2.1
Authors@R: 
    person("Wolfgang", "Rolke", , "wolfgang.rolke@upr.edu", role = c("aut", "cre"),
        comment = c(ORCID = "0000-0002-3514-726X"))
Description: 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.
License: GPL (>= 2)
Encoding: UTF-8
LinkingTo: Rcpp
Imports: Rcpp, parallel, stats, microbenchmark, spatstat.geom,
        spatstat.explore, FNN, copula, mvtnorm, ggplot2, MD2sample (>=
        1.4.0)
Suggests: rmarkdown, knitr, testthat (>= 3.0.0)
VignetteBuilder: knitr
Depends: R (>= 3.5)
LazyData: true
Config/roxygen2/version: 8.0.0
Config/testthat/edition: 3
NeedsCompilation: yes
Packaged: 2026-10-15 00:58:04 UTC; root
Author: Wolfgang Rolke [aut, cre] (ORCID:
        <https://orcid.org/0000-0002-3514-726X>)
Maintainer: Wolfgang Rolke <wolfgang.rolke@upr.edu>
Config/pak/sysreqs: libglpk-dev libgsl0-dev libxml2-dev
Repository: https://wolfgangrolke.r-universe.dev
Date/Publication: 2026-10-14 20:48:12 UTC
RemoteUrl: https://github.com/cran/MDgof
RemoteRef: HEAD
RemoteSha: 7d7531d71714c6a8fb2429d4e696f2084412ef0b