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.


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0.1.2 by Nicolas Schmidt, 7 days ago

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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, ggplot2, ape

Suggests spduration, countrycode

Linking to Rcpp, RcppArmadillo

See at CRAN