grf: Generalized Random Forests

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

Julie Tibshirani • Susan Athey • Rina Friedberg • Vitor Hadad • David Hirshberg • Luke Miner • Erik Sverdrup • Stefan Wager • Marvin Wright • View description and downloads View dependencies GitHub project

2017 Published

2.3.2 Version

0 Citations

9 Authors

Referenced by ⇅	Year
rdddr: Companion Datasets and Functions for Blair, Coppock, and Humphreys (2022) "Research Design: Declare, Diagnose, Redesign" (Version 1.0.0)	2022
rdss: Companion Datasets and Functions for Research Design in the Social Sciences (Version 1.0.12)	2023
qeML: Quick and Easy Machine Learning Tools (Version 1.1)	2023
CRE: Interpretable Discovery and Inference of Heterogeneous Treatment Effects (Version 0.2.7)	2022
EpiForsk: Code Sharing at the Department of Epidemiological Research at Statens Serum Institut (Version 0.1.1)	2023
aggTrees: Aggregation Trees (Version 2.1.0)	2023
causalweight: Estimation Methods for Causal Inference Based on Inverse Probability Weighting (Version 1.1.1)	2018
evalITR: Evaluating Individualized Treatment Rules (Version 1.0.0)	2020
htetree: Causal Inference with Tree-Based Machine Learning Algorithms (Version 0.1.19)	2023
longsurr: Longitudinal Surrogate Marker Analysis (Version 1.0)	2022
maq: Multi-Armed Qini (Version 0.4.0)	2023
policytree: Policy Learning via Doubly Robust Empirical Welfare Maximization over Trees (Version 1.2.3)	2020
roseRF: ROSE Random Forests for Robust Semiparametric Efficient Estimation (Version 0.1.0)	2024
targeted: Targeted Inference (Version 0.5)	2020

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