Package: tramicp 0.1-2

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>).

Authors:Lucas Kook [aut, cre], Sorawit Saengkyongam [ctb], Anton Rask Lundborg [ctb], Torsten Hothorn [ctb], Jonas Peters [ctb]

tramicp_0.1-2.tar.gz
tramicp_0.1-2.zip(r-4.7-any)tramicp_0.1-2.zip(r-4.6-any)tramicp_0.1-2.zip(r-4.5-any)
tramicp_0.1-2.tgz(r-4.6-any)tramicp_0.1-2.tgz(r-4.5-any)
tramicp_0.1-2.tar.gz(r-4.7-any)tramicp_0.1-2.tar.gz(r-4.6-any)
tramicp_0.1-2.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
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

On CRAN:

Conda:

3.74 score 11 stars 275 downloads 22 exports 39 dependencies

Last updated from:cba7cf55da. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-develOK244
source / vignettesOK202
linux-releaseOK206
macos-releaseOK154
macos-oldrelOK141
windows-develOK235
windows-releaseOK216
windows-oldrelOK207
wasm-releaseOK102

Exports:bootstrap_stabilityBoxCoxICPColrICPcotramICPcoxphICPCoxphICPdgp_dicpdicpdicp_controlsglmICPinvariant_setsLehmannICPlmICPLmICPpolrICPPolrICPpvaluesqrfICPrangerICPsurvforestICPsurvregICPSurvregICP

Dependencies:alabamabasefunBBcodacodetoolscoinconeprojcotramdHSICforeachFormulaicenRegiteratorslatticelibcoinMASSMatrixmatrixStatsMLEcensmltmodeltoolsmultcompmvtnormnloptrnumDerivorthopolynompolynomqrngquadprograngerRcppRcppArmadilloRcppEigensandwichsurvivalTH.datatramvariableszoo

Readme and manuals

Help Manual

Help pageTopics
Bootstrap stability for TRAMICPbootstrap_stability
Simple data-generating process for illustrating tramicpdgp_dicp
Model-based causal feature selection for general response typesdicp
TRAMICP Controlsdicp_controls
Aliases for implemented model classesBoxCoxICP ColrICP cotramICP CoxphICP coxphICP glmICP implemented_model_classes LehmannICP LmICP lmICP PolrICP polrICP qrfICP rangerICP survforestICP SurvregICP survregICP
Return invariant setsinvariant_sets
Extract set and predictor p-values from tramicp outputspvalues