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High Dimensional Bayesian Survival Mediation Analysis

Installation

About

Perform mediation analysis for time to event high-dimensional data. Mediation Analysis proposed by Miocevic et al.(2017) doi:10.1080/10705511.2017.1342541 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.

Key Metrics

Version 0.1.0
R ≥ 2.10
Published 2021-05-10 1081 days ago
Needs compilation? yes
License GPL-3
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Maintainer

Maintainer

Atanu Bhattacharjee

atanustat@gmail.com

Authors

Atanu Bhattacharjee

aut / cre / ctb

Akash Pawar

aut / ctb

Material

Reference manual
Package source

In Views

Bayesian

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

r-oldrel

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Depends

R ≥ 2.10

Imports

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