Perform flexible simulation studies using one or multiple computer cores.
The package is set up to be usable on high-performance clusters in addition
to being run locally, see examples on <https://github.com/SachaEpskamp/parSim>.

Tool for producing Pen's parade graphs, useful for visualizing inequalities in income, wages or other variables, as proposed by Pen (1971, ISBN: 978-0140212594). Income or another economic variable is captured by the vertical axis, while the population is arranged in ascending order of income along the horizontal axis. Pen's income parades provide an easy-to-interpret visualization of economic inequalities.

Define and Work with Parameter Spaces for Complex Algorithms
c(person(given = "Michel",
family = "Lang",
role = c("cre", "aut"),
email = "michellang@gmail.com",
comment = c(ORCID = "0000-0001-9754-0393")),
person(given = "Bernd",
family = "Bischl",
role = "aut",
email = "bernd_bischl@gmx.net",
comment = c(ORCID = "0000-0001-6002-6980")),
person(given = "Jakob",
family = "Richter",
role = "aut",
email = "jakob1richter@gmail.com",
comment = c(ORCID = "0000-0003-4481-5554")),
person(given = "Xudong",
family = "Sun",
role = "aut",
email = "smilesun.east@gmail.com",
comment = c(ORCID = "0000-0003-3269-2307")),
person(given = "Martin",
family = "Binder",
role = "aut",
email = "mlr.developer@mb706.com"))
Define parameter spaces, constraints and
dependencies for arbitrary algorithms, to program on such spaces. Also
includes statistical designs and random samplers. Objects are implemented
as 'R6' classes.
backports, checkmate, data.table, mlr3misc, R6
'Condition.R' 'Design.R' 'NoDefault.R' 'Param.R' 'ParamDbl.R'
'ParamFct.R' 'ParamInt.R' 'ParamLgl.R' 'ParamSet.R'
'ParamSetCollection.R' 'ParamUty.R' 'Sampler.R' 'Sampler1D.R'
'SamplerHierarchical.R' 'SamplerJointIndep.R' 'SamplerUnif.R'
'asserts.R' 'generate_design_grid.R' 'generate_design_lhs.R'
'generate_design_random.R' 'zzz.R'

c(person(given = "Michel",
family = "Lang",
role = c("cre", "aut"),
email = "michellang@gmail.com",
comment = c(ORCID = "0000-0001-9754-0393")),
person(given = "Bernd",
family = "Bischl",
role = "aut",
email = "bernd_bischl@gmx.net",
comment = c(ORCID = "0000-0001-6002-6980")),
person(given = "Jakob",
family = "Richter",
role = "aut",
email = "jakob1richter@gmail.com",
comment = c(ORCID = "0000-0003-4481-5554")),
person(given = "Xudong",
family = "Sun",
role = "aut",
email = "smilesun.east@gmail.com",
comment = c(ORCID = "0000-0003-3269-2307")),
person(given = "Martin",
family = "Binder",
role = "aut",
email = "mlr.developer@mb706.com"),
person(given = "Marc",
family = "Becker",
role = "ctb",
email = "marcbecker@posteo.de",
comment = c(ORCID = "0000-0002-8115-0400")))
Define parameter spaces, constraints and
dependencies for arbitrary algorithms, to program on such spaces. Also
includes statistical designs and random samplers. Objects are
implemented as 'R6' classes.
backports, checkmate, data.table, methods, mlr3misc (>=
0.9.4), R6
'Condition.R' 'Design.R' 'NoDefault.R' 'Param.R' 'ParamDbl.R'
'ParamFct.R' 'ParamInt.R' 'ParamLgl.R' 'ParamSet.R'
'ParamSetCollection.R' 'ParamUty.R' 'Sampler.R' 'Sampler1D.R'
'SamplerHierarchical.R' 'SamplerJointIndep.R' 'SamplerUnif.R'
'asserts.R' 'default_values.R' 'helper.R' 'domain.R'
'generate_design_grid.R' 'generate_design_lhs.R'
'generate_design_random.R' 'ps.R' 'reexports.R' 'to_tune.R'
'zzz.R'