BSGW: Bayesian Survival Model with Lasso Shrinkage Using Generalized Weibull Regression
Version 0.9.2

Bayesian survival model using Weibull regression on both scale and shape parameters. Dependence of shape parameter on covariates permits deviation from proportional-hazard assumption, leading to dynamic - i.e. non-constant with time - hazard ratios between subjects. Bayesian Lasso shrinkage in the form of two Laplace priors - one for scale and one for shape coefficients - allows for many covariates to be included. Cross-validation helper functions can be used to tune the shrinkage parameters. Monte Carlo Markov Chain (MCMC) sampling using a Gibbs wrapper around Radford Neal's univariate slice sampler (R package MfUSampler) is used for coefficient estimation.

AuthorAlireza S. Mahani, Mansour T.A. Sharabiani
Date of publication2016-09-21 08:06:29
MaintainerAlireza S. Mahani <alireza.s.mahani@gmail.com>
LicenseGPL (>= 2)
Version0.9.2
Package repositoryView on CRAN
InstallationInstall the latest version of this package by entering the following in R:
install.packages("BSGW")

Popular man pages

bsgw: Bayesian Survival using Generalized Weibull Regression
crossval_bsgw: Convenience functions for cross-validation-based selection of...
plot_bsgw: Plot diagnostics for a bsgw object
predict_bsgw: Predict method for bsgw model fits
summary_bsgw: Summarizing Bayesian Survival Generalized Weibull (BSGW)...
See all...

All man pages Function index File listing

Man pages

bsgw: Bayesian Survival using Generalized Weibull Regression
crossval_bsgw: Convenience functions for cross-validation-based selection of...
plot_bsgw: Plot diagnostics for a bsgw object
predict_bsgw: Predict method for bsgw model fits
summary_bsgw: Summarizing Bayesian Survival Generalized Weibull (BSGW)...

Functions

BSGW Man page
bsgw Man page Source code
bsgw.calc.pval Source code
bsgw.control Man page Source code
bsgw.crossval Man page Source code
bsgw.crossval.wrapper Man page Source code
bsgw.empty.plot Source code
bsgw.eval Source code
bsgw.generate.folds Man page Source code
bsgw.generate.folds.eventbalanced Man page Source code
bsgw.loglike Source code
bsgw.logpost Source code
bsgw.mcmc Source code
bsgw.scale Source code
bsgw.strip.formula Source code
onAttach Source code
plot.bsgw Man page Source code
predict.bsgw Man page Source code
print.bsgw Man page Source code
print.summary.bsgw Man page Source code
summary.bsgw Man page Source code
summary.predict.bsgw Man page Source code

Files

NAMESPACE
R
R/utils.R
R/Sample.R
R/BSGW.R
R/zzz.R
MD5
DESCRIPTION
ChangeLog
man
man/predict_bsgw.Rd
man/plot_bsgw.Rd
man/bsgw.Rd
man/crossval_bsgw.Rd
man/summary_bsgw.Rd
BSGW documentation built on May 20, 2017, 4:46 a.m.

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