MultiBD (0.2.0)

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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.

Maintainer: Marc A. Suchard
Author(s): Lam S.T. Ho [aut, cre], Marc A. Suchard [aut], Forrest W. Crawford [aut], Jason Xu [ctb], Vladimir N. Minin [ctb]

License: Apache License 2.0

Uses: Rcpp, RcppParallel, MCMCpack, ggplot2, plotrix, matrixStats, testthat, knitr, rmarkdown

Released over 3 years ago.



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