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

Canonical link: https://rscholar.com/pkg/randomForestSRC

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

2012 Published

3.3.1 Version

0 Citations

2 Authors

Referenced by ⇅	Year
fsMTS: Feature Selection for Multivariate Time Series (Version 0.1.7)	2020
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 3.8.0)	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 1.5.0)	2022
ggRandomForests: Visually Exploring Random Forests (Version 2.2.1)	2014
glmnetr: Nested Cross Validation for the Relaxed Lasso and Other Machine Learning Models (Version 0.5-4)	2022
mlrCPO: Composable Preprocessing Operators and Pipelines for Machine Learning (Version 0.3.7-7)	2018
multipleOutcomes: Asymptotic Covariance Matrix of Regression Models for Multiple Outcomes (Version 0.4)	2024
pec: Prediction Error Curves for Risk Prediction Models in Survival Analysis (Version 2023.04.12)	2008
precmed: Precision Medicine (Version 1.1.0)	2022
ranktreeEnsemble: Ensemble Models of Rank-Based Trees with Extracted Decision Rules (Version 0.23)	2023
riskRegression: Risk Regression Models and Prediction Scores for Survival Analysis with Competing Risks (Version 2023.12.21)	2011
survcompare: Nested Cross-Validation to Compare Cox-PH, Cox-Lasso, Survival Random Forests (Version 0.2.0)	2024
survex: Explainable Machine Learning in Survival Analysis (Version 1.2.0)	2022
survivalSL: Super Learner for Survival Prediction from Censored Data (Version 0.96)	2023
tehtuner: Fit and Tune Models to Detect Treatment Effect Heterogeneity (Version 0.3.0)	2022
tram: Transformation Models (Version 1.1-2)	2018

RPKG Scholar presents a tabulation of an author's contribution in the development of R packages stored in the Comprehensive R Archive Network (CRAN). Within this site, we consider package dependencies (suggests,imports,depends,enhances) as citations because we believe that using one's package to develop another is tantamount to citing the author of the package being imported, suggested or enhanced.