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spBayesSurv (version 1.1.2)

Bayesian Modeling and Analysis of Spatially Correlated Survival Data

Description

Provides several Bayesian survival models for spatial/non-spatial survival data: proportional hazards (PH), accelerated failure time (AFT), proportional odds (PO), and accelerated hazards (AH), a super model that includes PH, AFT, PO and AH as special cases, Bayesian nonparametric nonproportional hazards (LDDPM), generalized accelerated failure time (GAFT), and spatially smoothed density estimation. The spatial dependence is modeled via frailties under PH, AFT, PO, AH and GAFT, and via copulas under LDDPM and PH. Model choice is carried out via LPML and DIC.

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Version

Install

install.packages('spBayesSurv')

Monthly Downloads

330

Version

1.1.2

License

GPL (>= 2)

Maintainer

Haiming Zhou

Last Published

January 11th, 2018

Functions in spBayesSurv (1.1.2)

SpatDensReg

Bayesian Nonparametric Spatially Smoothed Density Estimation
SuperSurvRegBayes

Bayesian Semiparametric Super Survival Model
anovaDDP

Bayesian Nonparametric Survival Model
b_spline

Generate a Cubic B-Spline Basis Matrix
GetCurves

Density, Survival, and Hazard Estimates
LeukSurv

The Leukemia Survival Data
frailtyprior

Frailty prior specification
indeptCoxph

Bayesian Proportional Hazards Model
baseline

Stratification effects on baseline functions
frailtyGAFT

Generalized Accelerated Failure Time Frailty Model
predict.b_spline

Evaluate a Cubic Spline Basis
spCopulaCoxph

Marginal Bayesian Proportional Hazards Model via Spatial Copula
spCopulaDDP

Marginal Bayesian Nonparametric Survival Model via Spatial Copula
survregbayes

Bayesian Semiparametric Survival Models
survregbayes2

Bayesian Semiparametric Survival Models