# High Dimensional Bayesian Survival Mediation Analysis

## Documentation for package ‘autohd’ version 0.1.0

- DESCRIPTION file.

## Help Pages

coxmulti | Multivariate cox proportional hazard data analysis
hdaftma | High dimensional multivariate accelerated failure time model with bayesian mediation analysis
hdcoxma | High dimensional multivariate cox proportional model with bayesian mediation analysis.
hdraftma | High dimensional competing risk analysis using multivariate accelerated failure time model with mediation analysis.
hdsurvma | High dimensional survival analysis using SurvMCmulti with mediation analysis
hidimcox | High dimensional univariate cox proportional hazard analysis.
hnscc | Head and neck cancer data
hnscc2 | Head and neck cancer data
imphdaft | High dimensional missing data imputation and performing mediation analysis with univariate accelerated failure time model using Weibull distribution.
imphdcox | High dimensional missing data imputation and performing mediation analysis with multivariate cox proportional hazard model. It works in a multivariate setup.
imphdsurv | High dimensional missing data imputation and survival analysis using survMCmulti with mediation analysis
impuni | High dimensional missing data imputation and performing the mediation analysis with Bayesian univariate cox proportional modeling.
impuniaft | High dimensional missing data imputation and performing the mediation analysis with univariate accelerated failure time model with Weibull distribution.
impunicox | High dimensional missing data imputation and performing the mediation analysis with univariate cox proportional modeling.
srdata | protein data
unicrma | High dimensional competing risk analysis by univariate accelerated failure time model with mediation analysis with Weibull distribution
unihdaftma | High dimensional competing risk analysis by univariate accelerated failure time model with mediation analysis
unihdcoxma | High dimensional univariate cox proportional hazard model.
unihdma | High dimensional survival analysis using Bayesian univariate cox prportional hazard with mediation analysis