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TreesUBonn

This is the repository for the workshop "An introduction to conditional inference trees in R" offered Jan. 19, 2023, at the Rheinische Friedrich-Wilhelms-Universität Bonn.

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/learn @MartinSchweinberger/TreesUBonn
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README

This repository contains all documents related to the workshop An introduction to conditional inference trees in R offered Jan. 19, 2023, by Martin Schweinberger at the Rheinische Friedrich-Wilhelms-Universität Bonn.

This workshop focuses on conditional inference trees and their implementation in R. The workshop uses materials provided by the Language Technology and Data Analysis Laboratory (LADAL). If you want a more detailed tutorial on tree-based methods going beyond what the workshop covers see this LADAL tutorial or you would like to know more about doing statistics and text analysis with R, please free to visit and explore the LADAL website.

The website for the workshop is available via this link.

Binder<br> Click this link to open an interactive Jupyter notebook containing the practical exercises of the workshop on Binder.org.

If the notebook on Binder.org does not work, please use this link to open an alternative version of the Jupyter notebook on Google Colab.

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GitHub Stars6
CategoryDevelopment
Updated8mo ago
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TeX

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62/100

Audited on Jul 15, 2025

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