autohd: High Dimensional Bayesian Survival Mediation Analysis

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.

Version: 0.1.0
Depends: R (≥ 2.10)
Imports: broom, hdbm, Hmisc, ICBayes, icenReg, missForest, SurvRegCensCov, survival, schoolmath, tibble, Rdpack, rjags, usethis, coxme, mlr3
Published: 2021-05-10
Author: Atanu Bhattacharjee [aut, cre, ctb], Akash Pawar [aut, ctb]
Maintainer: Atanu Bhattacharjee <atanustat at gmail.com>
License: GPL-3
NeedsCompilation: yes
CRAN checks: autohd results

Documentation:

Reference manual: autohd.pdf

Downloads:

Package source: autohd_0.1.0.tar.gz
Windows binaries: r-devel: autohd_0.1.0.zip, r-devel-UCRT: autohd_0.1.0.zip, r-release: autohd_0.1.0.zip, r-oldrel: autohd_0.1.0.zip
macOS binaries: r-release (arm64): autohd_0.1.0.tgz, r-release (x86_64): autohd_0.1.0.tgz, r-oldrel: autohd_0.1.0.tgz

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