R Package Scholar
28,796

party: A Laboratory for Recursive Partytioning

Torsten Hothorn  Kurt Hornik  Carolin Strobl  Achim Zeileis   View description and downloadsView dependenciesGitHub project

2005 Published
1.3-17 Version
0 Citations
4 Authors
Referenced by ⇅ Year
SPOT: Sequential Parameter Optimization Toolbox (Version 2.11.14)

2010
treemisc: Data Sets and Functions to Accompany "Tree-Based Methods for Statistical Learning in R" (Version 0.0.1)

2022
bsnsing: Build Decision Trees with Optimal Multivariate Splits (Version 1.0.1)

2022
BiodiversityR: Package for Community Ecology and Suitability Analysis (Version 2.16-1)

2007
CTShiny: Interactive Document for Working with Classification Tree Analysis (Version 0.1.0)

2019
CTShiny2: Interactive Document for Working with Classification Tree Analysis (Version 0.1.0)

2020
EFS: Tool for Ensemble Feature Selection (Version 1.0.3)

2016
EpiSemble: Ensemble Based Machine Learning Approach for Predicting Methylation States (Version 0.1.1)

2022
GB5mcPred: Gradient Boosting Algorithm for Predicting Methylation States (Version 0.1.0)

2023
HSAUR: A Handbook of Statistical Analyses Using R (1st Edition) (Version 1.3-10)

2006
HSAUR2: A Handbook of Statistical Analyses Using R (2nd Edition) (Version 1.1-20)

2009
MachineShop: Machine Learning Models and Tools (Version 3.8.0)

2018
ModelMap: Modeling and Map Production using Random Forest and Related Stochastic Models (Version 3.4.0.4)

2009
OTrecod: Data Fusion using Optimal Transportation Theory (Version 0.1.2)

2021
OpEnHiMR: Optimization Based Ensemble Model for Prediction of Histone Modifications in Rice (Version 0.1.1)

2024
PSAboot: Bootstrapping for Propensity Score Analysis (Version 1.3.8)

2013
PrInDT: Prediction and Interpretation in Decision Trees for Classification and Regression (Version 1.0.1)

2023
PredPsych: Predictive Approaches in Psychology (Version 0.4)

2017
RGraphics: Data and Functions from the Book R Graphics, Third Edition (Version 3.0-2)

2005
SuperLearner: Super Learner Prediction (Version 2.0-29)

2011
TSDT: Treatment-Specific Subgroup Detection Tool (Version 1.0.7)

2018
aVirtualTwins: Adaptation of Virtual Twins Method from Jared Foster (Version 1.0.1)

2016
ai: Build, Predict and Analyse Artificial Intelligence Models (Version 1.0.4.44)

2024
alookr: Model Classifier for Binary Classification (Version 0.3.9)

2020
autoBagging: Learning to Rank Bagging Workflows with Metalearning (Version 0.1.0)

2017
autostats: Auto Stats (Version 0.4.1)

2021
caret: Classification and Regression Training (Version 7.0-1)

2007
catdata: Categorical Data (Version 1.2.4)

2012
data.tree: General Purpose Hierarchical Data Structure (Version 1.1.0)

2015
evtree: Evolutionary Learning of Globally Optimal Trees (Version 1.0-8)

2011
flowml: A Backend for a 'nextflow' Pipeline that Performs Machine-Learning-Based Modeling of Biomedical Data (Version 0.1.3)

2023
fscaret: Automated Feature Selection from 'caret' (Version 0.9.4.4)

2013
htetree: Causal Inference with Tree-Based Machine Learning Algorithms (Version 0.1.19)

2023
ibawds: Functions and Datasets for the Data Science Course at IBAW (Version 1.0.0)

2021
iml: Interpretable Machine Learning (Version 0.11.3)

2018
ipred: Improved Predictors (Version 0.9-15)

2002
mlr: Machine Learning in R (Version 2.19.2)

2013
mlrCPO: Composable Preprocessing Operators and Pipelines for Machine Learning (Version 0.3.7-7)

2018
mlrMBO: Bayesian Optimization and Model-Based Optimization of Expensive Black-Box Functions (Version 1.1.5.1)

2017
moreparty: A Toolbox for Conditional Inference Trees and Random Forests (Version 0.4)

2020
multilevelPSA: Multilevel Propensity Score Analysis (Version 1.2.5)

2013
partykit: A Toolkit for Recursive Partytioning (Version 1.2-23)

2011
pdp: Partial Dependence Plots (Version 0.8.2)

2016
pec: Prediction Error Curves for Risk Prediction Models in Survival Analysis (Version 2023.04.12)

2008
permimp: Conditional Permutation Importance (Version 1.0-2)

2020
pheble: Classifying High-Dimensional Phenotypes with Ensemble Learning (Version 0.1.0)

2023
psica: Decision Tree Analysis for Probabilistic Subgroup Identification with Multiple Treatments (Version 1.0.2)

2018
qeML: Quick and Easy Machine Learning Tools (Version 1.1)

2023
rattle: Graphical User Interface for Data Science in R (Version 5.5.1)

2013
rfvimptest: Sequential Permutation Testing of Random Forest Variable Importance Measures (Version 0.1.3)

2022
riskRegression: Risk Regression Models and Prediction Scores for Survival Analysis with Competing Risks (Version 2023.12.21)

2011
rminer: Data Mining Classification and Regression Methods (Version 1.4.8)

2011
shapr: Prediction Explanation with Dependence-Aware Shapley Values (Version 0.2.2)

2020
stablelearner: Stability Assessment of Statistical Learning Methods (Version 0.1-5)

2018
subsemble: An Ensemble Method for Combining Subset-Specific Algorithm Fits (Version 0.1.0)

2014
superMICE: SuperLearner Method for MICE (Version 1.1.1)

2022
synthpop: Generating Synthetic Versions of Sensitive Microdata for Statistical Disclosure Control (Version 1.8-0)

2014
tehtuner: Fit and Tune Models to Detect Treatment Effect Heterogeneity (Version 0.3.0)

2022
varImp: RF Variable Importance for Arbitrary Measures (Version 0.4)

2018
vip: Variable Importance Plots (Version 0.4.1)

2018

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