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model4you: An R Package for Personalised Treatment Effect Estimation Cover

model4you: An R Package for Personalised Treatment Effect Estimation

Journal of Open Research Software
Volume 7 (2019): Issue 1
By: Heidi Seibold,  Achim Zeileis and  Torsten Hothorn  
Open Access
|May 2019

Figures & Tables

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Figure 1

Density estimates of base model for the Mathematics Exam data.

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Figure 2

Personalised model tree for the Mathematics Exam datam.

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Figure 3

Dependence plot for percentage of tests successfully solved.

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Figure 4

Dependence plots for the number of previous attempts and gender.

DOI: https://doi.org/10.5334/jors.219 | Journal eISSN: 2049-9647
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Language: English
Submitted on: Feb 8, 2018
Accepted on: Apr 24, 2019
Published on: May 15, 2019
Published by: Ubiquity Press
In partnership with: Paradigm Publishing Services
Publication frequency: 1 issue per year
Keywords:
personalised medicine,
subgroup analysis,
model-based recursive partitioning,
unbiased trees,
treatment effect,
random forest

© 2019 Heidi Seibold, Achim Zeileis, Torsten Hothorn, published by Ubiquity Press
This work is licensed under the Creative Commons Attribution 4.0 License.

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