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spBayesSurv

Bayesian Modeling and Analysis of Spatially Correlated Survival Data

v1.1.9 · Jul 23, 2025 · GPL (>= 2)

Description

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 Polya tree 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 the logarithm of the pseudo marginal likelihood (LPML), the deviance information criterion (DIC), and the Watanabe-Akaike information criterion (WAIC). See Zhou, Hanson and Zhang (2020) <doi:10.18637/jss.v092.i09>.

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NOTE r-oldrel-macos-arm64

installed package size

  installed size is 25.4Mb
  sub-directories of 1Mb or more:
    libs  24.6Mb
NOTE r-oldrel-macos-x86_64

installed package size

  installed size is 23.9Mb
  sub-directories of 1Mb or more:
    libs  23.0Mb
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NOTE 12 OK · 2 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE Mar 9, 2026
NOTE r-oldrel-macos-arm64

installed package size

  installed size is 25.4Mb
  sub-directories of 1Mb or more:
    libs  24.6Mb
NOTE r-oldrel-macos-x86_64

installed package size

  installed size is 23.9Mb
  sub-directories of 1Mb or more:
    libs  23.0Mb

Dependency Network

Dependencies Reverse dependencies Rcpp survival coda MASS fields spBayesSurv

Version History

new 1.1.9 Mar 9, 2026