spBayesSurv-package: Bayesian Modeling and Analysis of Spatially Correlated Survival Data
Description
This package provides several Bayesian survival models for spatial/non-spatial survival data: marginal Bayesian Nonparametric models, marginal Bayesian proportional hazards models, and generalized accelerated failure time frailty models.Details
ll{
Package: spBayesSurv
Type: Package
Version: 1.0.2
Date: 2014-10-24
License: GPL (>= 2)
}
This package provides several Bayesian survival models for spatial/non-spatial survival data, including marginal Bayesian Nonparametric models, where spCopulaDDP is for point-referenced data and anovaDDP is for non-spatial data; marginal Bayesian proportional hazards models, where spCopulaCox is for point-referenced data and indeptCoxph is for non-spatial data; and generalized accelerated failure time frailty models via frailtyGAFT for both spatial and non-spatial survival data.References
De Iorio, M., Johnson, W. O., Mueller, P., and Rosner, G. L. (2009). Bayesian nonparametric nonproportional hazards survival modeling. Biometrics, 65(3): 762-771.
Zhou, H., Hanson, T. and Knapp, R. (2014+). Marginal Bayesian nonparametric model for the time-to-extinction of the mountain yellow-legged frog. Biometrics. In revision.
Zhou, H., Hanson, T. and Zhang, J. (2014+). Generalized accelerated failure time spatial frailty model for arbitrarily censored data. Submitted