randomForestSRC: Fast Unified Random Forests for Survival, Regression, and Classification (RF-SRC)

Canonical link: https://scholar.rpkg.net/pkg/randomForestSRC

Hemant Ishwaran, Udaya B. Kogalur • View description and downloads View dependencies GitHub project

2012 Published

3.2.3 Version

0 Citations

1 Authors

Referenced by ⇅	Year
fsMTS: Feature Selection for Multivariate Time Series (Version 0.1.7)	2020
ggRandomForests: Visually Exploring Random Forests (Version 2.2.1)	2014
mlrCPO: Composable Preprocessing Operators and Pipelines for Machine Learning (Version 0.3.7-7)	2018
AutoScore: An Interpretable Machine Learning-Based Automatic Clinical Score Generator (Version 1.0.0)	2021
CoxAIPW: Doubly Robust Inference for Cox Marginal Structural Model with Informative Censoring (Version 0.0.3)	2023
LTRCforests: Ensemble Methods for Survival Data with Time-Varying Covariates (Version 0.7.0)	2020
MachineShop: Machine Learning Models and Tools (Version 3.7.0)	2018
PheCAP: High-Throughput Phenotyping with EHR using a Common Automated Pipeline (Version 1.2.1)	2020
SIMMS: Subnetwork Integration for Multi-Modal Signatures (Version 1.3.2)	2013
SurvMetrics: Predictive Evaluation Metrics in Survival Analysis (Version 0.5.0)	2021
boostmtree: Boosted Multivariate Trees for Longitudinal Data (Version 1.5.1)	2016
cjbart: Heterogeneous Effects Analysis of Conjoint Experiments (Version 0.3.2)	2021
familiar: End-to-End Automated Machine Learning and Model Evaluation (Version 1.4.6)	2022
glmnetr: Nested Cross Validation for the Relaxed Lasso and Other Machine Learning Models (Version 0.4-4)	2022
pec: Prediction Error Curves for Risk Prediction Models in Survival Analysis (Version 2023.04.12)	2008
precmed: Precision Medicine (Version 1.0.0)	2022
ranktreeEnsemble: Ensemble Models of Rank-Based Trees with Extracted Decision Rules (Version 0.22)	2023
riskRegression: Risk Regression Models and Prediction Scores for Survival Analysis with Competing Risks (Version 2023.12.21)	2011
survcompare: Compares Cox and Survival Random Forests to Quantify Nonlinearity (Version 0.1.2)	2024
survex: Explainable Machine Learning in Survival Analysis (Version 1.2.0)	2022
survivalSL: Super Learner for Survival Prediction from Censored Data (Version 0.94)	2023
tehtuner: Fit and Tune Models to Detect Treatment Effect Heterogeneity (Version 0.3.0)	2022

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