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psbcGroup (version 1.7)

Penalized Parametric and Semiparametric Bayesian Survival Models with Shrinkage and Grouping Priors

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 ).

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Version

Install

install.packages('psbcGroup')

Monthly Downloads

183

Version

1.7

License

GPL (>= 2)

Maintainer

Kyu Lee

Last Published

January 9th, 2024

Functions in psbcGroup (1.7)

psbcGL

Function to Fit the Penalized Semiparametric Bayesian Cox Model with Group Lasso Prior
psbcFL

Function to Fit the Penalized Semiparametric Bayesian Cox Model with Fused Lasso Prior
aftGL_LT

Function to Fit the Penalized Parametric Bayesian Accelerated Failure Time Model with Group Lasso Prior for Left-Truncated and Interval-Censored Data
psbcEN

Function to Fit the Penalized Semiparametric Bayesian Cox Model with Elastic Net Prior
psbcGroup

Penalized Parametric and Semiparametric Bayesian Survival Models with Shrinkage and Grouping Priors
survData

A simulated survival dataset.
VS

Function to perform variable selection using SNC-BIC thresholding method
aftGL

Function to Fit the Penalized Parametric Bayesian Accelerated Failure Time Model with Group Lasso Prior