MultiBD: Multivariate Birth-Death Processes (original) (raw)
Computationally efficient functions to provide direct likelihood-based inference for partially-observed multivariate birth-death processes. Such processes range from a simple Yule model to the complex susceptible-infectious-removed model in disease dynamics. Efficient likelihood evaluation facilitates maximum likelihood estimation and Bayesian inference.
| Version: | 0.2.0 |
|---|---|
| Depends: | R (≥ 3.1.0) |
| Imports: | Rcpp (≥ 0.11.2), RcppParallel |
| LinkingTo: | Rcpp, BH, RcppParallel |
| Suggests: | testthat, knitr, rmarkdown, MCMCpack, ggplot2, matrixStats, plotrix |
| Published: | 2016-12-05 |
| DOI: | 10.32614/CRAN.package.MultiBD |
| Author: | Lam S.T. Ho [aut, cre], Marc A. Suchard [aut], Forrest W. Crawford [aut], Jason Xu [ctb], Vladimir N. Minin [ctb] |
| Maintainer: | Marc A. Suchard |
| License: | Apache License 2.0 |
| NeedsCompilation: | yes |
| Materials: | README |
| CRAN checks: | MultiBD results |
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