Package: bayestransmission
Title: Bayesian Transmission Models
Version: 0.1.1
Authors@R: c(
    person("Andrew", "Redd", , "andrew.redd@hsc.utah.edu", role = c("aut", "cre"),
           comment = c(ORCID = "0000-0002-6149-2438")),
    person("Alun", "Thomas",  email = "alun.thomas@utah.edu", role = c("aut")),
    person("University of Utah", role="cph"),
    person("CDC's Center for Forecasting and Outbreak Analytics", role = c("fnd"),
           comment = c("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."))
    )
Description: 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>.
License: MIT + file LICENSE
Encoding: UTF-8
Roxygen: list(markdown = TRUE)
RoxygenNote: 7.3.3
Imports: assertthat, dplyr, methods, Rcpp (>= 1.0.12), rlang
Config/testthat/edition: 3
Depends: R (>= 4.2.0)
LazyData: true
LinkingTo: Rcpp, RcppArmadillo
SystemRequirements: C++17, BLAS, LAPACK
Suggests: checkmate, devtools, ggplot2, testthat (>= 3.0.0), tidyr,
        knitr, rmarkdown, pillar
RcppModules: Infect
URL: https://epiforesite.github.io/bayestransmission/,
        https://github.com/EpiForeSITE/bayestransmission
VignetteBuilder: knitr
BugReports: https://github.com/EpiForeSITE/bayestransmission/issues
Language: en-US
Repository: https://epiforesite.r-universe.dev
Date/Publication: 2026-01-06 17:18:56 UTC
RemoteUrl: https://github.com/EpiForeSITE/bayestransmission
RemoteRef: HEAD
RemoteSha: b30d1e0059e1e27a865cbec8cdd2ab884eb8c227
NeedsCompilation: yes
Packaged: 2026-07-05 09:40:01 UTC; root
Author: Andrew Redd [aut, cre] (ORCID: <https://orcid.org/0000-0002-6149-2438>),
  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@hsc.utah.edu>