SDR
0.7.0.0Subgroup Discovery Algorithms for R
Overview
Implementation of some algorithms for the data mining task called "subgroup discovery" without package dependencies. It also provide a Shiny App for make the analysis easier. The algorithms works with data sets provided in KEEL or ARFF format files or data.frame objects. If you want more information about KEEL format, please refer to < http://www.keel.es > .
Install
Health
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Documentation
- Examples that run
- 75%
- Documented parameters
- 100%
- Return-value docs
- 71%
- References docs
- 17%
Downloads
Dependencies
Nothing depends on this yet.
Code & Tests
People & History
2 releases. Pick two to compare their code metrics. R releases are shown for context.
- RR 3.4.0 released · 2017-04-21
- archivedRemoved from CRAN2016-07-14requested by the maintainer <amgv0009@red.ujaen.es>
- RR 3.3.0 released · 2016-05-03
- 0.7.0.02016-01-16 · diff ↗
- 0.6.0.02015-07-19
- RR 3.2.0 released · 2015-04-16
Package metadata
- Total releases
- 2
- License
- LGPL (>= 3) | file LICENSE OSI
- Minimum R
- ≥ 3.0.0
- Bundled data
- 19 KB / 6 files
- Download size
- not tracked yet
- Installed size
- not tracked yet
- With dependencies
- not tracked yet
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