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psbcGroup
View on CRAN: Click
here
Download and install psbcGroup package within the R console
Install from CRAN:
install.packages("psbcGroup")
Install from Github:
library("remotes")
install_github("cran/psbcGroup")
Install by package version:
library("remotes")
install_version("psbcGroup", "1.7")
Attach the package and use:
library("psbcGroup")
Maintained by
Kyu Ha Lee
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2013-04-05
Latest Update: 2021-06-24
Description:
Algorithms to implement various Bayesian penalized survival regression models including: semiparametric proportional hazards models with lasso priors (Lee et al., Int J Biostat, 2011 ) and three other shrinkage and group priors (Lee et al., Stat Anal Data Min, 2015 ); parametric accelerated failure time models with group/ordinary lasso prior (Lee et al. Comput Stat Data Anal, 2017 ).
How to cite:
Kyu Ha Lee (2013). psbcGroup: Penalized Parametric and Semiparametric Bayesian Survival Models with Shrinkage and Grouping Priors. R package version 1.7, https://cran.r-project.org/web/packages/psbcGroup. Accessed 22 Dec. 2024.
Previous versions and publish date:
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imports, suggests or enhances
Complete documentation for psbcGroup
Functions, R codes and Examples using
the psbcGroup R package
Some associated functions: VS . aftGL . aftGL_LT . psbcEN . psbcFL . psbcGL . psbcGroup . survData .
Some associated R codes: UpdateBH.R . UpdateLambda.GL.R . UpdateLambda1.EN.R . UpdateLambda1.FL.R . UpdateLambda2.EN.R . UpdateLambda2.FL.R . UpdateRP.FL.R . UpdateRP.FLrw.R . UpdateRP.R . UpdateRPrw.R . UpdateSigma.EN.R . UpdateSigma.FL.R . UpdateSigma.GL.R . UpdateTau.GL.R . UpdateTau.R . UpdateW.FL.R . VS.R . aftGL.R . aftGL_LT.R . bic4.R . loglh2.R . psbcEN.R . psbcFL.R . psbcGL.R . setting.interval.R . snc.R . Full psbcGroup package functions and examples
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