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:10.48550/arXiv.2309.12833>).

Version: 0.0-1
Depends: R (≥ 4.0.0)
Imports: tram, mlt, coin, multcomp, survival, variables, basefun, MASS, cotram, dHSIC, ranger, sandwich
Suggests: testthat (≥ 3.0.0)
Published: 2023-09-29
Author: Lucas Kook ORCID iD [aut, cre], Sorawit Saengkyongam [ctb], Anton Rask Lundborg [ctb], Torsten Hothorn [ctb], Jonas Peters [ctb]
Maintainer: Lucas Kook <lucasheinrich.kook at gmail.com>
License: GPL-3
NeedsCompilation: no
CRAN checks: tramicp results

Documentation:

Reference manual: tramicp.pdf

Downloads:

Package source: tramicp_0.0-1.tar.gz
Windows binaries: r-devel: tramicp_0.0-1.zip, r-release: tramicp_0.0-1.zip, r-oldrel: tramicp_0.0-1.zip
macOS binaries: r-release (arm64): tramicp_0.0-1.tgz, r-oldrel (arm64): tramicp_0.0-1.tgz, r-release (x86_64): tramicp_0.0-1.tgz

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