Package: MultiBD 0.2.1

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, cre], Marc A. Suchard [aut], Forrest W. Crawford [aut], Jason Xu [ctb], Vladimir N. Minin [ctb]

MultiBD_0.2.1.tar.gz
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MultiBD_0.2.1.tgz(r-4.4-x86_64)MultiBD_0.2.1.tgz(r-4.4-arm64)MultiBD_0.2.1.tgz(r-4.3-x86_64)MultiBD_0.2.1.tgz(r-4.3-arm64)
MultiBD_0.2.1.tar.gz(r-4.5-noble)MultiBD_0.2.1.tar.gz(r-4.4-noble)
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'))

Peer review:

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

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

On CRAN:

4 exports 6 stars 1.52 score 3 dependencies 24 scripts 155 downloads

Last updated 4 months agofrom:25969fa2bd. Checks:OK: 1 WARNING: 8. Indexed: yes.

TargetResultDate
Doc / VignettesOKSep 14 2024
R-4.5-win-x86_64WARNINGSep 14 2024
R-4.5-linux-x86_64WARNINGSep 14 2024
R-4.4-win-x86_64WARNINGSep 14 2024
R-4.4-mac-x86_64WARNINGSep 14 2024
R-4.4-mac-aarch64WARNINGSep 14 2024
R-4.3-win-x86_64WARNINGSep 14 2024
R-4.3-mac-x86_64WARNINGSep 14 2024
R-4.3-mac-aarch64WARNINGSep 14 2024

Exports:bbd_probdbd_probSEIR_probSIR_prob

Dependencies:BHRcppRcppParallel

bdsem_tutorial

Rendered fromSIRtrans.Rnwusingknitr::knitron Sep 14 2024.

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 Sep 14 2024.

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