c(person("Eemeli", "Leppäaho", role = c("aut","cre"),
email = "eemeli.leppaaho@gmail.com"),
person("Seppo", "Virtanen", role = c("aut"),
email = "s.virtanen@warwick.ac.uk"),
person("Muhammad", "Ammad-ud-din", role = "ctb",
email = "muhammad.ammad-ud-din@aalto.fi"),
person("Suleiman A", "Khan", role = "ctb",
email = "suleiman.khan@helsinki.fi"),
person("Tommi", "Suvitaival", role = "ctb",
email = "tsvv@steno.dk"),
person("Inka", "Saarinen", role = "ctb",
email = "inka.saarinen@aalto.fi"),
person("Samuel", "Kaski", role = "ctb",
email = "samuel.kaski@aalto.fi"))
Eemeli Leppäaho [aut, cre],
Seppo Virtanen [aut],
Muhammad Ammad-ud-din [ctb],
Suleiman A Khan [ctb],
Tommi Suvitaival [ctb],
Inka Saarinen [ctb],
Samuel Kaski [ctb]

Sarah Friedrich, Frank Konietschke, Markus Pauly
Implemented are the Wald-type statistic,
a permuted version thereof as well as the ANOVA-type statistic
for general factorial designs, even with non-normal error terms
and/or heteroscedastic variances, for crossed designs with an
arbitrary number of factors and nested designs with up to three factors.

RGtk2 (>= 2.20.31), HSAUR, knitr, rmarkdown

Implemented are the Wald-type statistic,
a permuted version thereof as well as the ANOVA-type statistic
for general factorial designs, even with non-normal error terms
and/or heteroscedastic variances, for crossed designs with an
arbitrary number of factors and nested designs with up to three factors.
Friedrich et al. (2017) <doi:10.18637/jss.v079.c01>.

Sarah Friedrich, Frank Konietschke, Markus Pauly, Marc Ditzhaus, Philipp Steinhauer
plyr (>= 1.8.3), MASS (>= 7.3-43), Matrix (>= 1.2-2), magic
(>= 1.5-6), plotrix (>= 3.5-12), methods, shiny (>= 1.4),
shinyjs, shinyWidgets, shinythemes, tippy
RGtk2 (>= 2.20.31), knitr, rmarkdown, HSAUR

Tests for Survival Data in General Factorial Designs
c(person(given = "Marc",
family = "Ditzhaus",
role = c("aut")),
person(given = "Dennis",
family = "Dobler",
role = "aut"),
person(given = "Markus",
family = "Pauly",
role = "aut"),
person(given = "Philipp",
family = "Steinhauer",
role = c("aut","cre"), email = "philipp.steinhauer@tu-dortmund.de"))
Implemented are three Wald-type statistic and respective
permuted versions for null hypotheses formulated in terms of cumulative hazard rate functions, medians and the concordance measure, respectively, in the general framework of survival factorial designs with possibly heterogeneous survival and/or censoring distributions, for crossed designs with an arbitrary number of factors and nested designs with up to three factors.
Ditzhaus, Dobler and Pauly (2020) <doi:10.1177/0962280220980784>
Ditzhaus, Janssen, Pauly (2020) <arXiv: 2004.10818v2>
Dobler and Pauly (2019) <doi:10.1177/0962280219831316>.
Marc Ditzhaus [aut],
Dennis Dobler [aut],
Markus Pauly [aut],
Philipp Steinhauer [aut, cre]