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.


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install.packages("autohd")

0.1.0 by Atanu Bhattacharjee, a month 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