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tidyrules
View on CRAN: Click
here
Download and install tidyrules package within the R console
Install from CRAN:
install.packages("tidyrules")
Install from Github:
library("remotes")
install_github("cran/tidyrules")
Install by package version:
library("remotes")
install_version("tidyrules", "0.2.7")
Attach the package and use:
library("tidyrules")
Maintained by
Srikanth Komala Sheshachala
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2019-06-14
Latest Update: 2020-06-04
Description:
Utility to convert text based summary of rule based models to a tidy dataframe (where each row represents a rule) with related metrics such as support, confidence and lift. Rule based models from these packages are supported: 'C5.0', 'rpart' and 'Cubist'.
How to cite:
Srikanth Komala Sheshachala (2019). tidyrules: Utilities to Retrieve Rulelists from Model Fits, Filter, Prune, Reorder and Predict on Unseen Data. R package version 0.2.7, https://cran.r-project.org/web/packages/tidyrules. Accessed 22 Dec. 2024.
Previous versions and publish date:
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imports, suggests or enhances
Complete documentation for tidyrules
Functions, R codes and Examples using
the tidyrules R package
Some associated functions: addBackquotes . package_tidyrules . positionSpaceOutsideSinglequotes . removeEmptyLines . ruleRToPython . ruleRToSQL . strHead . strReplaceReduce . strSplitSingle . strTail . tidyRules.C5.0 . tidyRules.cubist . tidyRules . tidyRules.rpart . varSpec .
Some associated R codes: c5.R . cubist.R . generic.R . output_formats.R . package.R . rpart.R . rule_translators.R . utils.R . varSpec.R . Full tidyrules package functions and examples
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