Package: psbcSpeedUp 2.0.7

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_2.0.7.tar.gz
psbcSpeedUp_2.0.7.tar.gz(r-4.5-noble)psbcSpeedUp_2.0.7.tar.gz(r-4.4-noble)
psbcSpeedUp_2.0.7.tgz(r-4.4-emscripten)psbcSpeedUp_2.0.7.tgz(r-4.3-emscripten)
psbcSpeedUp.pdf |psbcSpeedUp.html
psbcSpeedUp/json (API)
NEWS

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

Peer review:

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:

2 exports 0.61 score 129 dependencies 163 downloads

Last updated 4 days agofrom:49232ff167

Exports:plotBrierpsbcSpeedUp

Dependencies:backportsbase64encbitbit64broombroom.helpersbslibcachemcheckmateclicliprclustercmprskcodetoolscolorspacecpp11crayondata.tablediagramdigestdoParalleldplyrevaluatefansifarverfastmapfontawesomeforcatsforeachforeignFormulafsfuturefuture.applygenericsGGallyggplot2ggstatsglobalsgluegridExtragtablehavenhighrHmischmshtmlTablehtmltoolshtmlwidgetsisobanditeratorsjquerylibjsonliteKernSmoothknitrlabelinglabelledlatticelavalifecyclelistenvmagrittrMASSMatrixMatrixModelsmemoisemetsmgcvmimemultcompmunsellmvtnormnlmennetnumDerivparallellypatchworkpillarpkgconfigplotrixplyrpolsplineprettyunitsprodlimprogressprogressrPublishpurrrquantregR6rangerrappdirsRColorBrewerRcppRcppArmadilloRcppEigenreadrriskRegressionrlangrmarkdownrmsrpartrstudioapisandwichsassscalesshapeSparseMSQUAREMstringistringrsurvivalTH.datatibbletidyrtidyselecttimeregtinytextzdbutf8vctrsviridisviridisLitevroomwithrxfunxml2yamlzoo

Penalized Semiparametric Bayesian Cox Models

Rendered fromBayesCox.Rmdusingknitr::rmarkdownon Jul 02 2024.

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