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Topic :: Machine Learning :: Recursive Partitioning [Remove This Filter]
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6 projects in result set.
0. party - The core of party is ctree(), an implementation of conditional inference trees.
Based on conditional inference trees, cforest()
implements random forests. The function mob()
partitions parametric models.
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- Development Status : 5 - Production/Stable [Filter]
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Registered: 2011-12-21 11:15 |
1. LongCART - Recursive partitioning for linear mixed effects model with continuous
univariate response variables per LongCART algorithm based on baseline partitioning variables (Kundu and Harezlak, 2019).
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Registered: 2019-07-28 20:17 |
2. partykit: Recursive Partytioning Toolkit - Infrastructure for representing, summarizing, and visualizing tree-structured models. It can be used for constructing or reading tree models from different sources (rpart, RWeka, PMML), sharing
functionality for print/plot/predict methods.
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- Development Status : 4 - Beta [Filter]
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Registered: 2008-09-30 11:39 |
3. CHAID - This package offers an implementation of CHAID, a type of decision tree technique for a nominal scaled dependent variable. The method detects interactions between categorized variables of a data set, one of which is the dependent variable.
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- Development Status : 3 - Alpha [Filter]
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Registered: 2009-01-28 09:10 |
4. recursive segmentation - Recursive segmentation (rseg) makes use of recursive partitioning methods to build a patient rule induction method (PRIM) like prediction model for exploratory subgroup analysis.
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Registered: 2016-08-01 12:38 |
5. Isolation Forest - This package implements an anomaly detection method that detects data-anomalies using binary trees. Using the property that anomalies are more susceptible to isolation, anomalies can be detected as data points which have short expected path lengths.
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- Development Status : 3 - Alpha [Filter]
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Registered: 2009-07-14 06:02 |
