Multivariate Birth-Death Processes R package MultiBD version 1.0.2 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. Software Depends: R (>= 3.1.0) Imports: Rcpp (>= 0.11.2), RcppParallel LinkingTo: Rcpp, BH, RcppParallel Suggests: testthat, knitr, rmarkdown, MCMCpack, ggplot2, matrixStats, plotrix Marc A. Suchard <msuchard@ucla.edu> Comprehensive R Archive Network (CRAN) Lam S.T. Ho [aut], Marc A. Suchard [aut, cre], Forrest W. Crawford [aut], Jason Xu [ctb], Vladimir N. Minin [ctb] Apache License 2.0 2026-03-24 application/tgz https://CRAN.R-project.org/package=MultiBD doi:10.32614/CRAN.package.MultiBD