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tramicp

Model-Based Causal Feature Selection for General Response Types

Extends invariant causal prediction (Peters et al., 2016, <doi:10.1111/rssb.12167>) to generalized linear and transformation models (Hothorn et al., 2018, <doi:10.1111/sjos.12291>). The methodology is described in Kook et al. (2023, <doi:10.1080/01621459.2024.2395588>).

Versions across snapshots

VersionRepositoryFileSize
0.1-0 rolling linux/jammy R-4.5 tramicp_0.1-0.tar.gz 117.7 KiB
0.1-0 rolling linux/noble R-4.5 tramicp_0.1-0.tar.gz 117.7 KiB
0.1-0 rolling source/ R- tramicp_0.1-0.tar.gz 21.6 KiB
0.1-0 latest linux/jammy R-4.5 tramicp_0.1-0.tar.gz 117.7 KiB
0.1-0 latest linux/noble R-4.5 tramicp_0.1-0.tar.gz 117.7 KiB
0.1-0 latest source/ R- tramicp_0.1-0.tar.gz 21.6 KiB
0.1-0 2026-04-26 source/ R- tramicp_0.1-0.tar.gz 21.6 KiB
0.1-0 2026-04-23 source/ R- tramicp_0.1-0.tar.gz 21.6 KiB
0.1-0 2026-04-09 windows/windows R-4.5 tramicp_0.1-0.zip 119.5 KiB
0.1-0 2025-04-20 source/ R- tramicp_0.1-0.tar.gz 21.6 KiB

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