Package: MultiBD 1.0.2

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.

Authors:Lam S.T. Ho [aut], Marc A. Suchard [aut, cre], Forrest W. Crawford [aut], Jason Xu [ctb], Vladimir N. Minin [ctb]

MultiBD_1.0.2.tar.gz
MultiBD_1.0.2.zip(r-4.6)MultiBD_1.0.2.zip(r-4.5)
MultiBD_1.0.2.tgz(r-4.6-x86_64)MultiBD_1.0.2.tgz(r-4.6-arm64)MultiBD_1.0.2.tgz(r-4.5-x86_64)MultiBD_1.0.2.tgz(r-4.5-arm64)
MultiBD_1.0.2.tar.gz(r-4.6-arm64)MultiBD_1.0.2.tar.gz(r-4.6-x86_64)MultiBD_1.0.2.tar.gz(r-4.5-arm64)MultiBD_1.0.2.tar.gz(r-4.5-x86_64)
MultiBD.pdf |MultiBD.html✨
MultiBD/json (API)
NEWS

# Install 'MultiBD' in R:
install.packages('MultiBD', repos = c('https://msuchard.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/msuchard/multibd/issues

Uses libs:
  • c++– GNU Standard C++ Library v3
Datasets:

On CRAN:

Conda:

cpp

6.36 score 6 stars 24 scripts 225 downloads 4 exports 3 dependencies

Last updated from:8f706e9127. Checks:11 OK, 1 FAIL. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-arm64OK199
linux-devel-x86_64OK201
source / vignettesOK252
linux-release-arm64OK193
linux-release-x86_64OK194
macos-devel-arm64OK124
macos-devel-x86_64OK351
macos-release-arm64OK140
macos-release-x86_64OK262
windows-develOK219
windows-releaseOK180
wasm-releaseFAIL135

Exports:bbd_probdbd_probSEIR_probSIR_prob

Dependencies:BHRcppRcppParallel

bdsem_tutorial

Rendered fromSIRtrans.Rnwusingknitr::knitron Mar 24 2026.

Last update: 2016-07-19
Started: 2015-06-04

Simple MCMC under SIR

Lam ST Ho and Marc A Suchard

Rendered fromSIR-MCMC.Rmdusingknitr::rmarkdownon Mar 24 2026.

Last update: 2016-07-19
Started: 2016-03-09