Package: MDgof
Title: Various Methods for the Goodness-of-Fit Problem in D>1
        Dimensions
Version: 1.0.2
Authors@R: 
        person("Wolfgang", "Rolke", , "wolfgang.rolke@upr.edu", role = c("aut", "cre"),
           comment = c(ORCID = "0000-0002-3514-726X"))
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.
License: GPL (>= 2)
Encoding: UTF-8
RoxygenNote: 7.3.3
LinkingTo: Rcpp
Imports: Rcpp, parallel, stats, microbenchmark, spatstat.geom,
        spatstat.explore, FNN, copula, mvtnorm, ggplot2,
        microbenchmark, MD2sample
Suggests: rmarkdown, knitr
VignetteBuilder: knitr
Depends: R (>= 3.5)
LazyData: true
NeedsCompilation: yes
Packaged: 2026-06-25 21:35:51 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: 2026-06-25 19:50:02 UTC
RemoteUrl: https://github.com/cran/MDgof
RemoteRef: HEAD
RemoteSha: db3face0e7122671f94757e92dd2c9a8c77ba28b