partykit: A Modular Toolkit for Recursive Partytioning in R
Authors: Torsten Hothorn, Achim Zeileis
JMLR 2015 | Venue PDF | Archive PDF | Plain Text | LLM Run Details
| Reproducibility Variable | Result | LLM Response |
|---|---|---|
| Research Type | Experimental | As an example for the visualizations, Figure 1 shows two different trees fitted to the well-known data on survival of passengers on the ill-fated maiden voyage of the RMS Titanic: The left panel shows a CART tree with constant fits learned by rpart and converted to partykit. The right panel shows a MOB tree learned with partykit with a logistic regression for treatment effects in the terminal nodes. |
| Researcher Affiliation | Academia | Torsten Hothorn EMAIL Institut f ur Epidemiologie, Biostatistik und Pr avention, Universit at Z urich Achim Zeileis EMAIL Institut f ur Statistik, Universit at Innsbruck |
| Pseudocode | No | The paper describes the design and functionality of the partykit R package using prose and bullet points, but does not include any clearly labeled pseudocode or algorithm blocks. |
| Open Source Code | Yes | The partykit package is an add-on package for the R system for statistical computing. It is available from the Comprehensive R Archive Network (CRAN) at http://CRAN.R-project.org/package=partykit and can be installed from within R, e.g., using install.packages. |
| Open Datasets | No | The paper mentions using 'well-known data on survival of passengers on the ill-fated maiden voyage of the RMS Titanic' for illustrative purposes in Figure 1, but it does not provide concrete access information such as a specific link, DOI, repository, or formal citation for this dataset. |
| Dataset Splits | No | The paper mentions fitting models to the Titanic dataset but does not provide any specific information regarding dataset splits (e.g., training, test, or validation percentages or counts). |
| Hardware Specification | No | The paper focuses on describing the 'partykit' R package and its functionalities; it does not provide any specific details about the hardware (e.g., GPU/CPU models, memory specifications) used for development or illustration purposes. |
| Software Dependencies | Yes | It depends on R (at least 2.15.0) as well as the base packages graphics, grid, stats, and the recommended survival. |
| Experiment Setup | No | The paper describes the 'partykit' R package and uses the Titanic dataset for an illustrative visualization. It does not provide specific experimental setup details such as hyperparameter values, optimizer settings, or training configurations for these demonstrations. |