Package: bayestransmission
Title: Bayesian Transmission Models
Version: 0.1.0
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
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
NeedsCompilation: yes
Packaged: 2025-12-07 01:55:57 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>
Repository: CRAN
Date/Publication: 2025-12-12 21:10:07 UTC
Built: R 4.4.3; x86_64-w64-mingw32; 2025-12-15 00:51:25 UTC; windows
Archs: x64
