MultiBD: Multivariate Birth-Death Processes

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
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

Downloads:

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
OS X El Capitan binaries: r-release: MultiBD_0.2.0.tgz
OS X Mavericks binaries: r-oldrel: MultiBD_0.2.0.tgz

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