R package spBayesSurv. 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.
Keywords for this software
References in zbMATH (referenced in 4 articles , 1 standard article )
Showing results 1 to 4 of 4.
- Benjamin Taylor and Barry Rowlingson: spatsurv: An R Package for Bayesian Inference with Spatial Survival Models (2017)
- Haiming Zhou, Timothy Hanson, Jiajia Zhang: spBayesSurv: Fitting Bayesian Spatial Survival Models Using R (2017) arXiv
- Zhou, Haiming; Hanson, Timothy; Zhang, Jiajia: Generalized accelerated failure time spatial frailty model for arbitrarily censored data (2017)
- Zhou, Haiming; Hanson, Timothy; Knapp, Roland: Marginal Bayesian nonparametric model for time to disease arrival of threatened Amphibian populations (2015)