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glmtree: Logistic Regression Trees
A logistic regression tree is a decision tree with logistic regressions at its leaves. A particular stochastic expectation maximization algorithm is used to draw a few good trees, that are then assessed via the user's criterion of choice among BIC / AIC / test set Gini. The formal development is given in a PhD chapter, see Ehrhardt (2019) <https://github.com/adimajo/manuscrit_these/releases/>.
Getting started
Browse package contents
Package details |
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| Author | Adrien Ehrhardt [aut, cre] |
| Maintainer | Adrien Ehrhardt <adrien.ehrhardt@centraliens-lille.org> |
| License | GPL (>= 2) |
| Version | 0.2 |
| URL | https://adimajo.github.io |
| Package repository | View on CRAN |
| Installation |
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