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tramicp  

Model-Based Causal Feature Selection for General Response Types
View on CRAN: Click here


Download and install tramicp package within the R console
Install from CRAN:
install.packages("tramicp")

Install from Github:
library("remotes")
install_github("cran/tramicp")

Install by package version:
library("remotes")
install_version("tramicp", "0.1-0")



Attach the package and use:
library("tramicp")
Maintained by
Lucas Kook
[Scholar Profile | Author Map]
First Published: 2023-09-29
Latest Update: 2023-09-29
Description:
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>).
How to cite:
Lucas Kook (2023). tramicp: Model-Based Causal Feature Selection for General Response Types. R package version 0.1-0, https://cran.r-project.org/web/packages/tramicp. Accessed 10 May. 2025.
Previous versions and publish date:
0.0-1 (2023-09-29 15:52), 0.0-2 (2024-03-14 16:30)
Other packages that cited tramicp R package
View tramicp citation profile
Other R packages that tramicp depends, imports, suggests or enhances
Complete documentation for tramicp
Functions, R codes and Examples using the tramicp R package
Some associated functions: bootstrap_stability . dgp_dicp . dicp . dicp_controls . invariant_sets . pvalues . tramicp-alias . 
Some associated R codes: alias.R . boostrap-stability.R . controls.R . dgps.R . helpers.R . invariance-types.R . methods.R . tests.R . tram-sim.R . tramicp.R .  Full tramicp package functions and examples
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