Provides Bayesian inference methods for infectious disease transmission
models in healthcare settings. Implements Markov Chain Monte Carlo (MCMC) algorithms
for estimating transmission parameters from patient-level data including admission,
discharge, and testing events as described in Thomas 'et al.' (2015) <doi:10.1093/imammb/dqt021>.
| Version: |
0.1.0 |
| Depends: |
R (≥ 4.2.0) |
| Imports: |
assertthat, dplyr, methods, Rcpp (≥ 1.0.12), rlang |
| LinkingTo: |
Rcpp, RcppArmadillo |
| Suggests: |
checkmate, devtools, ggplot2, testthat (≥ 3.0.0), tidyr, knitr, rmarkdown, pillar |
| Published: |
2025-12-12 |
| DOI: |
10.32614/CRAN.package.bayestransmission |
| Author: |
Andrew Redd  [aut,
cre],
Alun Thomas [aut],
University of Utah [cph],
CDC's Center for Forecasting and Outbreak Analytics [fnd] (This project
was made possible by cooperative agreement CDC-RFA-FT-23-0069
(grant # NU38FT000009-01-00) from the CDC's Center for Forecasting
and Outbreak Analytics. Its contents are solely the responsibility
of the authors and do not necessarily represent the official views
of the Centers for Disease Control and Prevention.) |
| Maintainer: |
Andrew Redd <andrew.redd at hsc.utah.edu> |
| BugReports: |
https://github.com/EpiForeSITE/bayestransmission/issues |
| License: |
MIT + file LICENSE |
| URL: |
https://epiforesite.github.io/bayestransmission/,
https://github.com/EpiForeSITE/bayestransmission |
| NeedsCompilation: |
yes |
| SystemRequirements: |
C++17, BLAS, LAPACK |
| Materials: |
README, NEWS |
| CRAN checks: |
bayestransmission results [issues need fixing before 2026-01-15] |