Title: Penalized semi-parametric Bayesian Cox (PSBC) models with
Author: Kyu Ha Lee, Sounak Chakraborty, (Tony) Jianguo Sun
Description: Algorithms for fitting the PSBC models with shrinkage and
Depends: bayesm, LearnBayes, SuppDists, mvtnorm, R (>= 2.12.2)

Title: Penalized Semiparametric Bayesian Cox Models with Shrinkage and
Description: The package provides algorithms for fitting penalized semiparametric Bayesian Cox (PSBC) models with shrinkage and grouping priors.
Depends: LearnBayes, SuppDists, mvtnorm, R (>= 2.12.2)

Description: Algorithms for fitting penalized semiparametric Bayesian Cox models with shrinkage and grouping priors.
Depends: LearnBayes, SuppDists, mvtnorm, R (>= 3.1.3)

Title: Penalized Parametric and Semiparametric Bayesian Survival Models
Description: Algorithms for fitting penalized parametric and semiparametric Bayesian survival models with shrinkage and grouping priors.
Depends: LearnBayes, SuppDists, mvtnorm, R (>= 3.2.3)

Description: Algorithms to implement various Bayesian penalized survival regression models including: semiparametric proportional hazards models with lasso priors (Lee et al., Int J Biostat, 2011 <doi:10.2202/1557-4679.1301>) and three  other shrinkage and group priors (Lee et al., Stat Anal Data Min, 2015 <doi:10.1002/sam.11266>); parametric accelerated failure time models with group/ordinary lasso prior (Lee et al. Comput Stat Data Anal, 2017 <doi:10.1016/j.csda.2017.02.014>).
Depends: LearnBayes, SuppDists, mvtnorm, survival, R (>= 3.2.3)

Title: Bayesian Dynamic Borrowing with Propensity Score
Description: A tool which aims to help evaluate the effect of external borrowing using an integrated approach described in Lewis et al., (2019) <doi:10.1080/19466315.2018.1497533> that combines propensity score and Bayesian dynamic borrowing methods.
Imports: dplyr, tidyr, data.table, rjags, mvtnorm, matrixcalc, ggplot2,
foreach, doParallel, parallel, MatchIt, survival,
Collate: 'add_cov.R' 'add_time.R' 'add_mcmc.R' 'simu_cov.R'

person(given = "Craig", family = "Gower-Page", role = c("cre"), email = "craig.gower-page@roche.com"),
person(given = "Matt", family = "Secrest", role = c("ctb"), email = "secrestm@gene.com"),
person(given = "Yichen", family = "Lu", role = c("aut")),
person(given = "Aijing", family = "Lin", role = c("aut")),
person("F. Hoffmann-La Roche AG", role = c("cph", "fnd"))
Imports: dplyr, data.table, rjags, mvtnorm, ggplot2 (>= 3.2.0),
Suggests: knitr, rmarkdown, testthat, Matrix, assertthat, pkgload,
Collate: 'zzz.R' 'add_cov.R' 'add_time.R' 'add_mcmc.R' 'apply_mcmc.R'