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: | 1.1.1 |
Depends: | R (≥ 3.0.2) |
Imports: | Rcpp (≥ 0.11.1), survival, coda, methods, MASS, fields |
LinkingTo: | Rcpp, RcppArmadillo (≥ 0.4.300.0) |
Suggests: | knitr |
Published: | 2017-05-15 |
Author: | Haiming Zhou and Tim Hanson |
Maintainer: | Haiming Zhou <zhouh at niu.edu> |
License: | GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
NeedsCompilation: | yes |
Citation: | spBayesSurv citation info |
In views: | Spatial, Survival |
CRAN checks: | spBayesSurv results |
Reference manual: | spBayesSurv.pdf |
Vignettes: |
spBayesSurv |
Package source: | spBayesSurv_1.1.1.tar.gz |
Windows binaries: | r-devel: spBayesSurv_1.1.1.zip, r-release: spBayesSurv_1.1.1.zip, r-oldrel: spBayesSurv_1.1.1.zip |
OS X El Capitan binaries: | r-release: spBayesSurv_1.1.1.tgz |
OS X Mavericks binaries: | r-oldrel: spBayesSurv_1.1.1.tgz |
Old sources: | spBayesSurv archive |
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