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 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) < https://github.com/Nicolas-Schmidt/BayesSPsurv/blob/master/man/figures/SPcure.pdf> describe the estimators included in this package.


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install.packages("BayesSPsurv")

0.1.0 by Nicolas Schmidt, 25 days ago


Browse source code at https://github.com/cran/BayesSPsurv


Authors: Brandon L. Bolte [aut] , Nicolas Schmidt [aut, cre] , Sergio Bejar [aut] , Bumba Mukherjee [aut] , Minnie M. Joo [ctb] , Nguyen K. Huynh [ctb]


Documentation:   PDF Manual  


MIT + file LICENSE license


Imports MCMCpack, FastGP, stats, Rcpp, coda, dplyr, reshape2

Suggests spduration, countrycode

Linking to Rcpp, RcppArmadillo


See at CRAN