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BaseSet: Working with Sets the Tidy Way

Implements a class and methods to work with sets, doing intersection, union, complementary sets, power sets, cartesian product and other set operations in a "tidy" way. These set operations are available for both classical sets and fuzzy sets. Import sets from several formats or from other several data structures.

Version: 0.9.0
Depends: R (≥ 4.0.0)
Imports: dplyr (≥ 1.0.0), magrittr, methods, rlang, utils
Suggests: Biobase, covr, forcats, ggplot2, GO.db, GSEABase, knitr, org.Hs.eg.db, reactome.db, rmarkdown, spelling, testthat (≥ 2.1.0)
Published: 2023-08-22
Author: Lluís Revilla Sancho ORCID iD [aut, cre, cph], Zebulun Arendsee [rev], Jennifer Chang [rev]
Maintainer: Lluís Revilla Sancho <lluis.revilla at gmail.com>
BugReports: https://github.com/ropensci/BaseSet/issues
License: MIT + file LICENSE
URL: https://github.com/ropensci/BaseSet, https://docs.ropensci.org/BaseSet/
NeedsCompilation: no
Language: en-US
Materials: README NEWS
CRAN checks: BaseSet results

Documentation:

Reference manual: BaseSet.pdf
Vignettes: BaseSet
Advanced examples
Fuzzy sets

Downloads:

Package source: BaseSet_0.9.0.tar.gz
Windows binaries: r-devel: BaseSet_0.9.0.zip, r-release: BaseSet_0.9.0.zip, r-oldrel: BaseSet_0.9.0.zip
macOS binaries: r-release (arm64): BaseSet_0.9.0.tgz, r-oldrel (arm64): BaseSet_0.9.0.tgz, r-release (x86_64): BaseSet_0.9.0.tgz, r-oldrel (x86_64): BaseSet_0.9.0.tgz
Old sources: BaseSet archive

Linking:

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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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