Learn R Programming
⚠️There's a newer version (1.1.8) of this package.Take me there.

spBayesSurv (version 1.1.1)

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.

Copy Link

Version

Install

install.packages('spBayesSurv')

Monthly Downloads

330

Version

1.1.1

License

GPL (>= 2)

Maintainer

Haiming Zhou

Last Published

May 15th, 2017

Functions in spBayesSurv (1.1.1)

GetCurves

Density, Survival, and Hazard Estimates
LeukSurv

The Leukemia Survival Data
indeptCoxph

Bayesian Proportional Hazards Model
predict.b_spline

Evaluate a Cubic Spline Basis
frailtyGAFT

Generalized Accelerated Failure Time Frailty Model
frailtyprior

Frailty prior specification
SuperSurvRegBayes

Bayesian Semiparametric Super Survival Model
anovaDDP

Bayesian Nonparametric Survival Model
survregbayes

Bayesian Semiparametric Survival Models
survregbayes2

Bayesian Semiparametric Survival Models
b_spline

Generate a Cubic B-Spline Basis Matrix
baseline

Stratification effects on baseline functions
spCopulaCoxph

Marginal Bayesian Proportional Hazards Model via Spatial Copula
spCopulaDDP

Marginal Bayesian Nonparametric Survival Model via Spatial Copula