paradox: 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.

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:

Reference manual:	paradox.pdf
Vignettes:	In Depth Tutorial

Downloads:

Package source:	paradox_1.0.1.tar.gz
Windows binaries:	r-devel: paradox_1.0.1.zip, r-release: paradox_1.0.1.zip, r-oldrel: paradox_1.0.1.zip
macOS binaries:	r-release (arm64): paradox_1.0.1.tgz, r-oldrel (arm64): paradox_1.0.1.tgz, r-release (x86_64): paradox_1.0.1.tgz, r-oldrel (x86_64): paradox_1.0.1.tgz
Old sources:	paradox archive

Reverse dependencies:

Reverse depends:	bbotk, miesmuschel, mlr3tuning
Reverse imports:	counterfactuals, MantaID, mlr3, mlr3cluster, mlr3fairness, mlr3fda, mlr3filters, mlr3fselect, mlr3hyperband, mlr3learners, mlr3mbo, mlr3oml, mlr3pipelines, mlr3resampling, mlr3spatiotempcv, mlr3torch, mlr3tuningspaces, mlr3verse, mlrintermbo, sense, SIAMCAT
Reverse suggests:	DoubleML, drape, mcboost, mlr3misc, mlr3spatial, mlr3viz

Linking:

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