Define and Work with Parameter Spaces for Complex Algorithms

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.


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install.packages("paradox")

0.5.0 by Michel Lang, 2 days ago


https://paradox.mlr-org.com, https://github.com/mlr-org/paradox


Report a bug at https://github.com/mlr-org/paradox/issues


Browse source code at https://github.com/cran/paradox


Authors: Michel Lang [cre, aut] , Bernd Bischl [aut] , Jakob Richter [aut] , Xudong Sun [aut] , Martin Binder [aut] , Marc Becker [ctb]


Documentation:   PDF Manual  


LGPL-3 license


Imports backports, checkmate, data.table, mlr3misc, R6

Suggests knitr, lhs, testthat


Imported by bbotk, mlr3, mlr3cluster, mlr3filters, mlr3fselect, mlr3learners, mlr3pipelines, mlr3proba, mlr3tuning.

Depended on by mlr3verse.

Suggested by mlr3misc.


See at CRAN