spBayesSurv: Bayesian Modeling and Analysis of Spatially Correlated Survival Data

Provides several Bayesian survival models for spatial/non-spatial survival data: proportional hazards (PH), accelerated failure time (AFT), proportional odds (PO), and accelerated hazards (AH), a super model that includes PH, AFT, PO and AH as special cases, Bayesian nonparametric nonproportional hazards (LDDPM), generalized accelerated failure time (GAFT), and spatially smoothed density estimation. The spatial dependence is modeled via frailties under PH, AFT, PO, AH and GAFT, and via copulas under LDDPM and PH. Model choice is carried out via LPML and DIC.

Version: 1.1.2
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: 2018-01-11
Author: Haiming Zhou and Timothy 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_1.1.2.tar.gz
Windows binaries: r-prerel: spBayesSurv_1.1.2.zip, r-release: spBayesSurv_1.1.2.zip, r-oldrel: spBayesSurv_1.1.2.zip
OS X binaries: r-prerel: spBayesSurv_1.1.2.tgz, r-release: spBayesSurv_1.1.2.tgz
Old sources: spBayesSurv archive


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