BayesSPsurv: Bayesian Spatial Split Population Survival Model

Parametric spatial split-population (SP) survival models for clustered event processes. The models account for structural and spatial heterogeneity among “at risk” and “immune” populations, and incorporate time-varying covariates. This package currently implements Weibull, Exponential and Log-logistic forms for the duration component. It also includes functions for a series of diagnostic tests and plots to easily visualize spatial autocorrelation, convergence, and spatial effects. Users can create their own spatial weights matrix based on their units and adjacencies of interest, making the use of these models flexible and broadly applicable to a variety of research areas. Joo et al. (2020) <> describe the estimators included in this package.

Version: 0.1.3
Depends: R (≥ 3.6.0)
Imports: MCMCpack, FastGP, stats, Rcpp (≥ 1.0.3), coda, dplyr, reshape2, ggplot2, ape, progress
LinkingTo: Rcpp, RcppArmadillo
Suggests: spduration, countrycode
Published: 2021-05-14
Author: Brandon L. Bolte [aut], Nicolas Schmidt [aut, cre], Sergio Bejar [aut], Bumba Mukherjee [aut], Minnie M. Joo [ctb], Nguyen K. Huynh [ctb]
Maintainer: Nicolas Schmidt <nschmidt at>
License: MIT + file LICENSE
NeedsCompilation: yes
Materials: README NEWS
CRAN checks: BayesSPsurv results


Reference manual: BayesSPsurv.pdf
Package source: BayesSPsurv_0.1.3.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release: BayesSPsurv_0.1.2.tgz, r-oldrel: BayesSPsurv_0.1.3.tgz
Old sources: BayesSPsurv archive


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