R.ROSETTA is an R package for constructing and analyzing rule-based classification models. The package is a more accessible and extended version of the ROSETTA system.
The DESCRIPTION file:
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~~ An overview of how to use the package, including the most important functions ~~
Maintainer: Jan Komorowski <firstname.lastname@example.org>, Mateusz Garbulowski <email@example.com>
Garbulowski M, Diamanti K, Smolińska K, Baltzer N, Stoll P, Bornelöv S, Øhrn A, Feuk L, Komorowski J. R.ROSETTA: an interpretable machine learning framework. BMC Bioinformatics. 2021 Mar 6;22(1):110. doi: 10.1186/s12859-021-04049-z
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## an example dataset is included in autcon variable resultsRos <- rosetta(autcon) ## print the quality of rule-based model print(resultsRos$quality) ## save the rule table for rules with P < 0.05 rules <- resultsRos$main[which(resultsRos$main$pValue < 0.05),] ## print rules in IF-THEN form viewRules(rules, setDiscLabels = FALSE, newDiscLabels=c("down", "nochange", "up"))
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