A nonparametric Bayesian approach to survival analysis. The functions perform inference via MCMC simulations from the posterior distributions for a Dependent Dirichlet Process-Gaussian Process prior. To maximize computational efficiency, some of the computations are performed in 'Rcpp'.
| Version: | 1.0 |
| Imports: | Rcpp (≥ 0.12.11), MASS, survival, mc2d, mvnfast |
| LinkingTo: | Rcpp, RcppArmadillo |
| Published: | 2018-06-24 |
| Author: | William Hua, Yanxun Xu |
| Maintainer: | William Hua <whua4 at jhu.edu> |
| License: | CC0 |
| NeedsCompilation: | yes |
| CRAN checks: | DDPGPSurv results |
| Reference manual: | DDPGPSurv.pdf |
| Package source: | DDPGPSurv_1.0.tar.gz |
| Windows binaries: | r-devel: DDPGPSurv_1.0.zip, r-release: DDPGPSurv_1.0.zip, r-oldrel: DDPGPSurv_1.0.zip |
| macOS binaries: | r-release: DDPGPSurv_1.0.tgz, r-oldrel: DDPGPSurv_1.0.tgz |
Please use the canonical form https://CRAN.R-project.org/package=DDPGPSurv to link to this page.