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.
Version: 1.0.1 Imports: backports, checkmate, data.table, methods, mlr3misc (≥ 0.9.4), R6 Suggests: rmarkdown, mlr3learners, e1071, knitr, lhs, spacefillr, testthat Published: 2024-07-09 DOI: 10.32614/CRAN.package.paradox Author: Michel Lang [aut], Bernd Bischl [aut], Jakob Richter [aut], Xudong Sun [aut], Martin Binder [aut, cre], Marc Becker [ctb] Maintainer: Martin Binder <mlr.developer at mb706.com> BugReports: https://github.com/mlr-org/paradox/issues License: LGPL-3 URL: https://paradox.mlr-org.com, https://github.com/mlr-org/paradox NeedsCompilation: no Materials: README, NEWS CRAN checks: paradox results Documentation: Downloads: Reverse dependencies: Reverse depends: bbotk, miesmuschel, mlr3tuning Reverse imports: counterfactuals, MantaID, mlr3, mlr3cluster, mlr3fairness, mlr3fda, mlr3filters, mlr3fselect, mlr3hyperband, mlr3inferr, mlr3learners, mlr3mbo, mlr3oml, mlr3pipelines, mlr3resampling, mlr3spatiotempcv, mlr3torch, mlr3tuningspaces, mlr3verse, mlrintermbo, sense, SIAMCAT Reverse suggests: DoubleML, drape, mcboost, mlr3misc, mlr3spatial, mlr3viz Linking:Please use the canonical form https://CRAN.R-project.org/package=paradox to link to this page.
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