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psbcSpeedUp  

Penalized Semiparametric Bayesian Cox Models
View on CRAN: Click here


Download and install psbcSpeedUp package within the R console
Install from CRAN:
install.packages("psbcSpeedUp")

Install from Github:
library("remotes")
install_github("cran/psbcSpeedUp")

Install by package version:
library("remotes")
install_version("psbcSpeedUp", "2.1.0")



Attach the package and use:
library("psbcSpeedUp")
Maintained by
Zhi Zhao
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2023-10-02
Latest Update: 2024-07-01
Description:
Algorithms to speed up the Bayesian Lasso Cox model (Lee et al., Int J Biostat, 2011 ) and the Bayesian Lasso Cox with mandatory variables (Zucknick et al. Biometrical J, 2015 ).
How to cite:
Zhi Zhao (2023). psbcSpeedUp: Penalized Semiparametric Bayesian Cox Models. R package version 2.1.0, https://cran.r-project.org/web/packages/psbcSpeedUp. Accessed 25 Aug. 2026.
Previous versions and publish date:
(2026-07-09 06:44), 2.0.3 (2023-10-02 12:20), 2.0.4 (2023-10-12 16:50), 2.0.5 (2023-12-08 15:00), 2.0.6 (2024-03-21 19:00), 2.0.7 (2024-07-01 11:00)
Other packages that cited psbcSpeedUp R package
View psbcSpeedUp citation profile
Other R packages that psbcSpeedUp depends, imports, suggests or enhances
Complete documentation for psbcSpeedUp
Functions, R codes and Examples using the psbcSpeedUp R package
Some associated functions: coef.psbcSpeedUp . exampleData . plot.psbcSpeedUp . plotBrier . predict.psbcSpeedUp . psbcSpeedUp . 
Some associated R codes: RcppExports.R . coef.psbcSpeedUp.R . exampleData.R . plot.psbcSpeedUp.R . plotBrier.R . predict.psbcSpeedUp.R . psbcSpeedUp.R .  Full psbcSpeedUp package functions and examples
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