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.

Documentation

Manual: MultiBD.pdf
Vignettes:

Maintainer: Marc A. Suchard <msuchard at ucla.edu>

Author(s): Lam S.T. Ho*, Marc A. Suchard*, Forrest W. Crawford*, Jason Xu*, Vladimir N. Minin*

Install package and any missing dependencies by running this line in your R console:

install.packages("MultiBD")

Depends R (>= 3.1.0)
Imports Rcpp(>=0.11.2), RcppParallel
Suggests testthat, knitr, rmarkdown, MCMCpack, ggplot2, matrixStats, plotrix
Enhances
Linking to Rcpp, BH, RcppParallel
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Package MultiBD
Materials
URL
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Version 0.2.0
Published 2016-12-05
License Apache License 2.0
BugReports
SystemRequirements
NeedsCompilation yes
Citation
CRAN checks MultiBD check results
Package source MultiBD_0.2.0.tar.gz