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) <https://github.com/Nicolas-Schmidt/BayesSPsurv/blob/master/man/figures/SPcure.pdf> describe
the estimators included in this package.
| Version: |
0.1.4 |
| Depends: |
R (≥ 3.6.0) |
| Imports: |
MCMCpack, FastGP, stats, Rcpp (≥ 1.0.3), coda, dplyr, reshape2, ggplot2, ape, progress, rworldmap, countrycode |
| LinkingTo: |
Rcpp, RcppArmadillo |
| Suggests: |
spduration |
| Published: |
2021-09-13 |
| Author: |
Brandon L. Bolte [aut],
Nicolas Schmidt [aut, cre],
Sergio Bejar [aut],
Minnie M. Joo [aut],
Nguyen K. Huynh [aut],
Bumba Mukherjee [aut] |
| Maintainer: |
Nicolas Schmidt <nschmidt at cienciassociales.edu.uy> |
| BugReports: |
https://github.com/Nicolas-Schmidt/BayesSPsurv/issues |
| License: |
MIT + file LICENSE |
| URL: |
https://nicolas-schmidt.github.io/BayesSPsurv/ |
| NeedsCompilation: |
yes |
| Citation: |
BayesSPsurv citation info |
| Materials: |
README NEWS |
| CRAN checks: |
BayesSPsurv results |
Documentation:
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