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 <msuchard at ucla.edu> |
License: | Apache License 2.0 |
NeedsCompilation: | yes |
Materials: | README NEWS |
CRAN checks: | MultiBD results |
Reference manual: | MultiBD.pdf |
Vignettes: |
Simple_SIR_MCMC bdsem_tutorial |
Package source: | MultiBD_0.2.0.tar.gz |
Windows binaries: | r-devel: MultiBD_0.2.0.zip, r-release: MultiBD_0.2.0.zip, r-oldrel: MultiBD_0.2.0.zip |
macOS binaries: | r-release (arm64): MultiBD_0.2.0.tgz, r-oldrel (arm64): MultiBD_0.2.0.tgz, r-release (x86_64): MultiBD_0.2.0.tgz, r-oldrel (x86_64): MultiBD_0.2.0.tgz |
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