Package: tramicp 0.0-3
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>).
Authors:
tramicp_0.0-3.tar.gz
tramicp_0.0-3.zip(r-4.5)tramicp_0.0-3.zip(r-4.4)
tramicp_0.0-3.tgz(r-4.4-any)
tramicp_0.0-3.tar.gz(r-4.5-noble)tramicp_0.0-3.tar.gz(r-4.4-noble)
tramicp_0.0-3.tgz(r-4.4-emscripten)
tramicp.pdf |tramicp.html✨
tramicp/json (API)
# Install 'tramicp' in R: |
install.packages('tramicp', repos = c('https://lucaskook.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/lucaskook/tramicp/issues
Last updated 4 months agofrom:ef4567fd6e. Checks:OK: 5. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Oct 30 2024 |
R-4.5-win | OK | Oct 30 2024 |
R-4.5-linux | OK | Oct 30 2024 |
R-4.4-win | OK | Oct 30 2024 |
R-4.4-mac | OK | Oct 30 2024 |
Exports:bootstrap_stabilityBoxCoxICPColrICPcotramICPcoxphICPCoxphICPdgp_dicpdicpdicp_controlsglmICPinvariant_setsLehmannICPlmICPLmICPpolrICPPolrICPpvaluesqrfICPrangerICPsurvforestICPsurvregICPSurvregICP
Dependencies:alabamabasefunBBcodetoolscoinconeprojcotramdHSICFormulalatticelibcoinMASSMatrixmatrixStatsmltmodeltoolsmultcompmvtnormnloptrnumDerivorthopolynompolynomqrngquadprograngerRcppRcppArmadilloRcppEigensandwichsurvivalTH.datatramvariableszoo
Readme and manuals
Help Manual
Help page | Topics |
---|---|
Bootstrap stability for TRAMICP | bootstrap_stability |
Simple data-generating process for illustrating tramicp | dgp_dicp |
Model-based causal feature selection for general response types | dicp |
TRAMICP Controls | dicp_controls |
Aliases for implemented model classes | BoxCoxICP ColrICP cotramICP CoxphICP coxphICP glmICP implemented_model_classes LehmannICP LmICP lmICP PolrICP polrICP qrfICP rangerICP survforestICP SurvregICP survregICP |
Return invariant sets | invariant_sets |
Extract set and predictor p-values from tramicp outputs | pvalues |