Apply tests of multiple comparisons based
on studentized 'midrange' and 'range' distributions.
The tests are: Tukey Midrange ('TM' test),
Student-Newman-Keuls Midrange ('SNKM' test),
Means Grouping Midrange ('MGM' test) and
Means Grouping Range ('MGR' test). The articles of these
tests are in the submission phase, and we will soon update the references.

Evolutionary black box optimization algorithms building on the
'bbotk' package. 'miesmuschel' offers both ready-to-use optimization
algorithms, as well as their fundamental building blocks that can be used to
manually construct specialized optimization loops. The Mixed Integer Evolution
Strategies as described by Li et al. (2013) <doi:10.1162/EVCO_a_00059> can be
implemented, as well as the multi-objective optimization algorithms NSGA-II
by Deb, Pratap, Agarwal, and Meyarivan (2002) <doi:10.1109/4235.996017>.
c(
person("Martin", "Binder", email = "mlr.developer@mb706.com", role = c("aut", "cre")),
person(given = "Lennart", family = "Schneider", role = c("ctb"), email = "lennart.sch@web.de", comment = c(ORCID = "0000-0003-4152-5308")),
person(given = "Susanne", family = "Dandl", role = c("ctb"), email = "dandl.susanne@googlemail.com", comment = c(ORCID = "0000-0003-4324-4163")),
person(given = "Andreas", family = "Hofheinz", role = c("ctb"), email = "andreas.hofheinz@outlook.com")
)
mlr3misc (>= 0.5.0), checkmate (>= 1.9.0), R6, bbotk (>=
0.3.0.900), data.table, matrixStats, lgr
tinytest, mlr3tuning, mlr3, mlr3learners, ranger, xgboost,
rpart
'dictionaries.R' 'MiesOperator.R' 'Filtor.R' 'FiltorMaybe.R'
'FiltorNull.R' 'FiltorProxy.R' 'FiltorSurrogate.R'
'FiltorSurrogateProgressive.R' 'FiltorSurrogateTournament.R'
'Mutator.R' 'MutatorCmpMaybe.R' 'MutatorDiscreteUniform.R'
'MutatorErase.R' 'MutatorGauss.R' 'MutatorMaybe.R'
'MutatorNull.R' 'MutatorProxy.R' 'MutatorSequential.R'
'ParamSetShadow.R' 'OperatorCombination.R' 'Recombinator.R'
'Selector.R' 'mies_methods.R' 'OptimizerMies.R'
'RecombinatorCmpMaybe.R' 'RecombinatorConvex.R'
'RecombinatorConvexPair.R' 'RecombinatorCrossoverNary.R'
'RecombinatorCrossoverUniform.R' 'RecombinatorMaybe.R'
'RecombinatorNull.R' 'RecombinatorProxy.R'
'RecombinatorSequential.R'
'RecombinatorSimulatedBinaryCrossover.R' 'RecombinatorSwap.R'
'Scalor.R' 'ScalorAggregate.R' 'ScalorDomcount.R'
'ScalorFixedProjections.R' 'ScalorHypervolume.R'
'ScalorNondom.R' 'ScalorOne.R' 'ScalorProxy.R'
'ScalorSingleObjective.R' 'SelectorBest.R' 'SelectorMaybe.R'
'SelectorNull.R' 'SelectorProxy.R' 'SelectorRandom.R'
'SelectorSequential.R' 'SelectorTournament.R'
'TerminatorBudget.R' 'TerminatorGenerations.R' 'TunerMies.R'
'bibentries.R' 'repr.R' 'utils.R' 'utils_mo.R' 'zzz.R'
Martin Binder [aut, cre],
Lennart Schneider [ctb] (<https://orcid.org/0000-0003-4152-5308>),
Susanne Dandl [ctb] (<https://orcid.org/0000-0003-4324-4163>),
Andreas Hofheinz [ctb]