| Name : R-CRE
| |
| Version : 0.2.6
| Vendor : obs://build_opensuse_org/devel:languages:R
|
| Release : lp153.2.2
| Date : 2024-06-14 11:59:45
|
| Group : Development/Libraries/Other
| Source RPM : R-CRE-0.2.6-lp153.2.2.src.rpm
|
| Size : 0.29 MB
| |
| Packager : (none)
| |
| Summary : Interpretable Discovery and Inference of Heterogeneous Treatment Effects
|
Description :
Provides a new method for interpretable heterogeneous treatment effects
characterization in terms of decision rules via an extensive
exploration of heterogeneity patterns by an ensemble-of-trees approach,
enforcing high stability in the discovery. It relies on a two-stage
pseudo-outcome regression, and it is supported by theoretical
convergence guarantees. Bargagli-Stoffi, F. J., Cadei, R., Lee, K., &
Dominici, F. (2023) Causal rule ensemble: Interpretable Discovery and
Inference of Heterogeneous Treatment Effects. arXiv preprint
< doi:10.48550/arXiv.2009.09036>.
|
RPM found in directory: /packages/linux-pbone/ftp5.gwdg.de/pub/opensuse/repositories/devel:/languages:/R:/autoCRAN/openSUSE_Leap_15.3/x86_64 |
