Package: tmle3mediate 0.0.3
Nima Hejazi
tmle3mediate: Targeted Learning for Causal Mediation Analysis
Targeted maximum likelihood (TML) estimation of population-level causal effects in mediation analysis. The causal effects are defined by joint static or stochastic interventions applied to the exposure and the mediator. Targeted doubly robust estimators are provided for the classical natural direct and indirect effects, as well as the more recently developed population intervention direct and indirect effects.
Authors:
tmle3mediate_0.0.3.tar.gz
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tmle3mediate.pdf |tmle3mediate.html✨
tmle3mediate/json (API)
NEWS
| # Install 'tmle3mediate' in R: |
| install.packages('tmle3mediate', repos = c('https://ictml-project.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/tlverse/tmle3mediate/issues
Pkgdown site:https://tlverse.org
causal-inferencecausal-mediation-analysismachine-learningmediation-analysisstochastic-interventionstargeted-learningtreatment-effects
Last updated 4 years agofrom:70d1151c4a. Checks:8 ERROR. Indexed: no.
| Target | Result | Latest binary |
|---|---|---|
| Doc / Vignettes | FAIL | Feb 26 2025 |
| R-4.5-win | ERROR | Feb 26 2025 |
| R-4.5-mac | ERROR | Feb 26 2025 |
| R-4.5-linux | ERROR | Feb 26 2025 |
| R-4.4-win | ERROR | Feb 26 2025 |
| R-4.4-mac | ERROR | Feb 26 2025 |
| R-4.3-win | ERROR | Feb 26 2025 |
| R-4.3-mac | ERROR | Feb 26 2025 |
Exports:LF_ipsiParam_medshiftParam_NDEParam_NIEtmle_medshifttmle_NDEtmle_NIEtmle3_Spec_medshifttmle3_Spec_NDEtmle3_Spec_NIE
Dependencies:abindassertthatbackportsbase64encBBmiscbitopsbslibcachemcaretcaToolscheckmateclasscliclockcodetoolscolorspacecpp11crayondata.tabledelayeddiagramdigestdplyre1071evaluatefansifarverfastmapfontawesomeforeachfsfuturefuture.applygenericsggplot2globalsgluegowergplotsgtablegtoolshardhathighrhmshtmltoolshtmlwidgetsigraphipredisobanditeratorsjquerylibjsonliteKernSmoothknitrlabelinglatticelavalifecyclelistenvlubridatemagrittrMASSMatrixmemoisemgcvmimeModelMetricsmunsellmvtnormnlmennetnumDerivorigamiparallellypillarpkgconfigplyrprettyunitspROCprodlimprogressprogressrproxypurrrR.methodsS3R.ooR.utilsR6rappdirsrbibutilsRColorBrewerRcppRdpackrecipesreshape2rlangrmarkdownROCRrpartrstackdequesassscalesshapesl3sparsevctrsSQUAREMstringistringrsurvivaltibbletidyrtidyselecttimechangetimeDatetinytextmle3tzdbutf8uuidvctrsviridisLitevisNetworkwithrxfunyaml
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Likelihood Factor for Incremental Propensity Score Interventions | LF_ipsi |
| Parameter for the Population Intervention (In)direct Effects | Param_medshift |
| Parameter for the natural direct effect | Param_NDE |
| Parameter for the natural indirect effect | Param_NIE |
| TML Estimator for the Population Intervention (In)direct Effects | tmle_medshift |
| TML Estimator for the Natural Direct Effect | tmle_NDE |
| TML Estimator for the Natural Indirect Effect | tmle_NIE |
| TML Estimator for the Population Intervention (In)direct Effects | tmle3_Spec_medshift |
| TML Estimator for the Natural Direct Effect | tmle3_Spec_NDE |
| TML Estimator for the Natural Indirect Effect | tmle3_Spec_NIE |
