This package is considered a duplicate. The official version of this package is found at:https://ocbe-uio.r-universe.dev/psbcSpeedUp

Package: psbcSpeedUp 2.1.0

Zhi Zhao

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>).

Authors:Zhi Zhao [aut, cre], Manuela Zucknick [aut], Maral Saadati [aut], Axel Benner [aut]

psbcSpeedUp_2.1.0.tar.gz
psbcSpeedUp_2.1.0.tar.gz(r-4.7-arm64)psbcSpeedUp_2.1.0.tar.gz(r-4.7-x86_64)psbcSpeedUp_2.1.0.tar.gz(r-4.6-arm64)psbcSpeedUp_2.1.0.tar.gz(r-4.6-x86_64)
psbcSpeedUp_2.1.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
psbcSpeedUp/json (API)
NEWS

# Install 'psbcSpeedUp' in R:

install.packages('psbcSpeedUp', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/ocbe-uio/psbcspeedup/issues

Uses libs:

openblas– Optimized BLAS
c++– GNU Standard C++ Library v3
openmp– GCC OpenMP (GOMP) support library

Datasets:

exampleData - Simulated data set

On CRAN:

openblas cpp openmp

2.70 score 216 downloads 2 exports 115 dependencies

Last updated from:b38b216c5f. Checks:4 NOTE, 2 OK. Indexed: no.

Target	Result	Time
linux-devel-arm64	NOTE	196
linux-devel-x86_64	NOTE	201
source / vignettes	OK	287
linux-release-arm64	NOTE	191
linux-release-x86_64	NOTE	201
wasm-release	OK	160

Exports:plotBrier psbcSpeedUp

Dependencies:backports base64enc bslib cachem checkmate cli cluster cmprsk codetools colorspace cpp11 crayon data.table diagram digest doParallel dplyr evaluate farver fastmap fontawesome forcats foreach foreign Formula fs future future.apply generics GGally ggplot2 ggstats glmnet globals glue gridExtra gtable highr Hmisc hms htmlTable htmltools htmlwidgets isoband iterators jquerylib jsonlite KernSmooth knitr labeling lattice lava lifecycle listenv magrittr MASS Matrix MatrixModels memoise mets mime multcomp mvtnorm nlme nnet numDeriv parallelly patchwork pillar pkgconfig plotrix polspline prettyunits prodlim progress progressr Publish purrr quantreg R6 ranger rappdirs RColorBrewer Rcpp RcppArmadillo RcppEigen riskRegression rlang rmarkdown rms rpart rstudioapi S7 sandwich sass scales shape SparseM SQUAREM stringi stringr survival TH.data tibble tidyr tidyselect timereg tinytex utf8 vctrs viridisLite withr xfun yaml zoo

Penalized Semiparametric Bayesian Cox Models

Rendered fromBayesCox.Rmdusingknitr::rmarkdownon May 28 2026.

Last update: 2025-09-30
Started: 2023-12-09

Citation

Readme and manuals

Help Manual

Help page	Topics
coef method for class 'psbcSpeedUp'	coef.psbcSpeedUp
Simulated data set	exampleData
create a plot of estimated coefficients	plot.psbcSpeedUp
Time-dependent Brier scores	plotBrier
Predict survival risk	predict.psbcSpeedUp
Function to Fit the Bayesian Cox Lasso Model	psbcSpeedUp