spBayesSurv: Bayesian Modeling and Analysis of Spatially Correlated Survival Data

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.

Version: 1.0.6
Depends: R (≥ 3.0.2)
Imports: Rcpp (≥ 0.11.1), survival, coda, methods, MASS, fields
LinkingTo: Rcpp, RcppArmadillo (≥ 0.4.300.0)
Published: 2016-12-14
Author: Haiming Zhou and Tim Hanson
Maintainer: Haiming Zhou <zhouh at niu.edu>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: yes
In views: Spatial, Survival
CRAN checks: spBayesSurv results


Reference manual: spBayesSurv.pdf
Package source: spBayesSurv_1.0.6.tar.gz
Windows binaries: r-devel: spBayesSurv_1.0.6.zip, r-release: spBayesSurv_1.0.6.zip, r-oldrel: spBayesSurv_1.0.6.zip
OS X Mavericks binaries: r-release: spBayesSurv_1.0.6.tgz, r-oldrel: spBayesSurv_1.0.6.tgz
Old sources: spBayesSurv archive


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