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autohd (version 0.1.0)

High Dimensional Bayesian Survival Mediation Analysis

Description

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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Version

Install

install.packages('autohd')

Monthly Downloads

21

Version

0.1.0

License

GPL-3

Maintainer

Atanu Bhattacharjee

Last Published

May 10th, 2021

Functions in autohd (0.1.0)

hdcoxma

High dimensional multivariate cox proportional model with bayesian mediation analysis.
hdaftma

High dimensional multivariate accelerated failure time model with bayesian mediation analysis
impuniaft

High dimensional missing data imputation and performing the mediation analysis with univariate accelerated failure time model with Weibull distribution.
unicrma

High dimensional competing risk analysis by univariate accelerated failure time model with mediation analysis with Weibull distribution
srdata

protein data
impunicox

High dimensional missing data imputation and performing the mediation analysis with univariate cox proportional modeling.
impuni

High dimensional missing data imputation and performing the mediation analysis with Bayesian univariate cox proportional modeling.
imphdsurv

High dimensional missing data imputation and survival analysis using survMCmulti with mediation analysis
unihdaftma

High dimensional competing risk analysis by univariate accelerated failure time model with mediation analysis
unihdcoxma

High dimensional univariate cox proportional hazard model.
hdraftma

High dimensional competing risk analysis using multivariate accelerated failure time model with mediation analysis.
unihdma

High dimensional survival analysis using Bayesian univariate cox prportional hazard with mediation analysis
imphdcox

High dimensional missing data imputation and performing mediation analysis with multivariate cox proportional hazard model. It works in a multivariate setup.
hnscc2

Head and neck cancer data
hidimcox

High dimensional univariate cox proportional hazard analysis.
hdsurvma

High dimensional survival analysis using SurvMCmulti with mediation analysis
hnscc

Head and neck cancer data
imphdaft

High dimensional missing data imputation and performing mediation analysis with univariate accelerated failure time model using Weibull distribution.
coxmulti

Multivariate cox proportional hazard data analysis