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spBayesSurv (version 1.0.6)

Bayesian Modeling and Analysis of Spatially Correlated Survival Data

Description

Provides several Bayesian survival models for spatial/non-spatial survival data: marginal Bayesian Nonparametric models, marginal Bayesian proportional hazards models, generalized accelerated failure time frailty models, and standard semiparametric frailty models within the context of proportional hazards, proportional odds and accelerated failure time.

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Version

Install

install.packages('spBayesSurv')

Monthly Downloads

330

Version

1.0.6

License

GPL (>= 2)

Maintainer

Haiming Zhou

Last Published

December 14th, 2016

Functions in spBayesSurv (1.0.6)

GetCurves

Density, Survival, and Hazard Estimates
SuperSurvRegBayes

Bayesian Semiparametric Super Survival Model
spCopulaDDP

Fit Marginal Bayesian Nonparametric Survival Model
spCopulaCoxph

Fit Marginal Bayesian Proportional Hazards Model
spBayesSurv-package

Bayesian Modeling and Analysis of Spatially Correlated Survival Data
frailtyGAFT

Generalized Accelerated Failure Time Frailty Model
baseline

Stratification effects on baseline functions
indeptCoxph

Fit Bayesian Proportional Hazards Model
anovaDDP

Fit Bayesian Nonparametric Survival Model
frailtyprior

Frailty prior specification
survregbayes2

Bayesian Semiparametric Survival Models
survregbayes

Bayesian Semiparametric Survival Models