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# CITATION file created with {cffr} R package
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cff-version: 1.2.0
message: 'To cite package "BSGW" in publications use:'
type: software
license: GPL-2.0-or-later
title: 'BSGW: Bayesian Survival Model with Lasso Shrinkage Using Generalized Weibull
  Regression'
version: 0.9.4
doi: 10.32614/CRAN.package.BSGW
abstract: 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.
authors:
- family-names: Mahani
  given-names: Alireza S.
  email: alireza.s.mahani@gmail.com
- family-names: Mahani
  given-names: Alireza S.
- family-names: Sharabiani
  given-names: Mansour T.A.
repository: https://asmahani.r-universe.dev
commit: d130541a3f129bad54c20716e63448cfb37e6faa
date-released: '2022-12-12'
contact:
- family-names: Mahani
  given-names: Alireza S.
  email: alireza.s.mahani@gmail.com