psbcSpeedUp: Penalized Semiparametric Bayesian Cox Models

Algorithms to speed up the Bayesian Lasso Cox model (Lee et al., Int J Biostat, 2011 <doi:10.2202/1557-4679.1301>) and the Bayesian Lasso Cox with mandatory variables (Zucknick et al. Biometrical J, 2015 <doi:10.1002/bimj.201400160>).

Version: 2.0.5
Depends: R (≥ 4.0)
Imports: Rcpp, xml2, ggplot2, GGally, MASS, survival, riskRegression, utils, stats
LinkingTo: Rcpp, RcppArmadillo (≥ 0.9.000)
Suggests: knitr
Published: 2023-12-08
Author: Zhi Zhao [aut, cre], Manuela Zucknick [aut], Maral Saadati [aut], Axel Benner [aut]
Maintainer: Zhi Zhao <zhi.zhao at>
License: GPL-3
Copyright: The C++ files pugixml.cpp, pugixml.h and pugiconfig.h are with Copyright (C) 2006-2018 Arseny Kapoulkine and Copyright (C) 2003 Kristen Wegner.
NeedsCompilation: yes
Materials: README NEWS
CRAN checks: psbcSpeedUp results


Reference manual: psbcSpeedUp.pdf
Vignettes: Penalized Semiparametric Bayesian Cox Models


Package source: psbcSpeedUp_2.0.5.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): psbcSpeedUp_2.0.5.tgz, r-oldrel (arm64): psbcSpeedUp_2.0.5.tgz, r-release (x86_64): psbcSpeedUp_2.0.5.tgz, r-oldrel (x86_64): psbcSpeedUp_2.0.4.tgz
Old sources: psbcSpeedUp archive


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