grf

cranv2.6.1

Generalized Random Forests. Forest-based statistical estimation and inference. GRF provides non-parametric methods for heterogeneous treatment effects estimation (optionally using right-censored outcomes, multiple treatment arms or outcomes, or instrumental variables), as well as least-squares regression, quantile regression,

License GPL-3strong copyleft0 versions1 maintainers6 deps2,318 weekly dl
grf-labs/grf
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20/25
maintenance
6/20
popularity
25/25
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0/15
maturity
7/15
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Dependencies (6)
DiceKriginglmtestMatrixmethodsRcppsandwich
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First published · 2026-03-04 07:26:16

Last updated · 2026-03-04T05:30:43+00:00