High Dimensional Bayesian Survival Mediation Analysis

Perform mediation analysis for time to event high-dimensional data. Mediation Analysis proposed by Miocevic et al.(2017) as a statistical tool in the Bayesian framework. Time to event data analysis methods like Cox proportional hazard model, accelerated failure time model to work with high dimensional data with Bayesian approaches are provided. Missing data imputation techniques tool to work with high dimensional data coupled for mediation analysis by presented by the active mediator variables.


Reference manual

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0.1.0 by Atanu Bhattacharjee, 8 months ago

Browse source code at https://github.com/cran/autohd

Authors: Atanu Bhattacharjee [aut, cre, ctb] , Akash Pawar [aut, ctb]

Documentation:   PDF Manual  

GPL-3 license

Imports broom, hdbm, Hmisc, ICBayes, icenReg, missForest, SurvRegCensCov, survival, schoolmath, tibble, Rdpack, rjags, usethis, coxme, mlr3

See at CRAN