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.
| Version: | 0.1.0 |
| Depends: | R (≥ 3.6.0) |
| Imports: | MCMCpack, FastGP, stats, Rcpp (≥ 1.0.3), coda, dplyr, reshape2 |
| LinkingTo: | Rcpp, RcppArmadillo |
| Suggests: | spduration, countrycode |
| Published: | 2020-09-28 |
| 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 cienciassociales.edu.uy> |
| License: | MIT + file LICENSE |
| NeedsCompilation: | yes |
| Materials: | README |
| CRAN checks: | BayesSPsurv results |
| Reference manual: | BayesSPsurv.pdf |
| Package source: | BayesSPsurv_0.1.0.tar.gz |
| Windows binaries: | r-devel: BayesSPsurv_0.1.0.zip, r-release: BayesSPsurv_0.1.0.zip, r-oldrel: BayesSPsurv_0.1.0.zip |
| macOS binaries: | r-release: BayesSPsurv_0.1.0.tgz, r-oldrel: BayesSPsurv_0.1.0.tgz |
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