Conditional Inference Procedures in a Permutation Test Framework
c(person("Torsten", "Hothorn", role = c("aut", "cre"),
                    email = "Torsten.Hothorn@R-project.org",
                    comment = c(ORCID = "0000-0001-8301-0471")),
             person("Henric", "Winell", role = "aut",
                    comment = c(ORCID = "0000-0001-7995-3047")),
             person("Kurt", "Hornik", role = "aut",
                    comment = c(ORCID = "0000-0003-4198-9911")),
             person(c("Mark", "A."), "van de Wiel", role = "aut",
                    comment = c(ORCID = "0000-0003-4780-8472")),
             person("Achim", "Zeileis", role = "aut",
                    comment = c(ORCID = "0000-0003-0918-3766")))
Conditional inference procedures for the general independence
             problem including two-sample, K-sample (non-parametric ANOVA),
             correlation, censored, ordered and multivariate problems described
             in <doi:10.18637/jss.v028.i08>.
methods, parallel, stats, stats4, utils, libcoin (>= 1.0-9),
matrixStats (>= 0.54.0), modeltools (>= 0.2-9), mvtnorm (>=
1.0-5), multcomp