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: |
0.0-2 |
| Depends: |
R (≥ 4.0.0) |
| Imports: |
tram, mlt, coin, multcomp, survival, variables, basefun, MASS, cotram, dHSIC, ranger, sandwich |
| Suggests: |
testthat (≥ 3.0.0) |
| Published: |
2024-03-14 |
| Author: |
Lucas Kook  [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:
Downloads:
Linking:
Please use the canonical form
https://CRAN.R-project.org/package=tramicp
to link to this page.