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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.
Getting started
Browse package contents
Package details |
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| Author | Lam S.T. Ho [aut], Marc A. Suchard [aut, cre], Forrest W. Crawford [aut], Jason Xu [ctb], Vladimir N. Minin [ctb] |
| Maintainer | Marc A. Suchard <msuchard@ucla.edu> |
| License | Apache License 2.0 |
| Version | 1.0.2 |
| Package repository | View on CRAN |
| Installation |
Install the latest version of this package by entering the following in R:
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