R: Accelerated Failure Time for High Dimensional Data with MCMC

# Accelerated Failure Time for High Dimensional Data with MCMC

## Documentation for package ‘afthd’ version 1.1.0

- DESCRIPTION file

## Help Pages

aftbybmv | Bayesian multivariate analysis of parametric AFT model with minimum deviance (DIC) among weibull, log normal and log logistic distribution.
hdata | Head and neck cancer data
lgnbymv | Bayesian multivariate analysis of AFT model with log normal distribution.
lgnbyuni | Bayesian univariate analysis of AFT model with log normal distribution.
lgstbymv | Multivariate estimates of AFT model with log logistic distribution using MCMC.
lgstbyuni | Univariate estimates of AFT model with log logistic distribution using MCMC.
pvaft | Estimates of univariate covariates using Accelerated Failure time (AFT) model without MCMC.
rglaft | Estimates of selected univariate covariates(using regularization) in AFT model without MCMC.
rglwbysm | Bayesian multivariate analysis of AFT model for selected covariates using regularization method.
rglwbysu | Bayesian univariate analysis of AFT model for selected covariates using regularization method.
wbyAgmv | Multivariate estimates of AFT model with weibull distribution using MCMC that supports augmented data.
wbyscrkm | Bayesian multivariate estimates for competing risk gene expression data using AFT model.
wbyscrku | Bayesian univariate estimates for competing risk gene expression data using AFT model.
wbysmv | Posterior multivariate estimates of AFT model with weibull distribution using MCMC.
wbysuni | Posterior univariate estimates of AFT model with weibull distribution using MCMC.