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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: 2.0.7
Depends: R (≥ 4.0)
Imports: Rcpp, xml2, ggplot2, GGally, MASS, survival, riskRegression, utils, stats
LinkingTo: Rcpp, RcppArmadillo (≥ 0.9.000)
Suggests: knitr
Published: 2024-07-01
DOI: 10.32614/CRAN.package.psbcSpeedUp
Author: Zhi Zhao [aut, cre], Manuela Zucknick [aut], Maral Saadati [aut], Axel Benner [aut]
Maintainer: Zhi Zhao <zhi.zhao at medisin.uio.no>
BugReports: https://github.com/ocbe-uio/psbcSpeedUp/issues
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.
URL: https://github.com/ocbe-uio/psbcSpeedUp
NeedsCompilation: yes
Citation: psbcSpeedUp citation info
Materials: README NEWS
CRAN checks: psbcSpeedUp results

Documentation:

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

Downloads:

Package source: psbcSpeedUp_2.0.7.tar.gz
Windows binaries: r-devel: psbcSpeedUp_2.0.7.zip, r-release: psbcSpeedUp_2.0.7.zip, r-oldrel: psbcSpeedUp_2.0.7.zip
macOS binaries: r-release (arm64): psbcSpeedUp_2.0.7.tgz, r-oldrel (arm64): psbcSpeedUp_2.0.7.tgz, r-release (x86_64): psbcSpeedUp_2.0.7.tgz, r-oldrel (x86_64): psbcSpeedUp_2.0.7.tgz
Old sources: psbcSpeedUp archive

Linking:

Please use the canonical form https://CRAN.R-project.org/package=psbcSpeedUp to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.