doi:10.48550/arXiv.2211.15229>.">

Bernadette: Bayesian Inference and Model Selection for Stochastic Epidemics (original) (raw)

Bayesian analysis for stochastic extensions of non-linear dynamic systems using advanced computational algorithms. Described in Bouranis, L., Demiris, N., Kalogeropoulos, K., and Ntzoufras, I. (2022) <doi:10.48550/arXiv.2211.15229>.

Version: 1.1.6
Depends: R (≥ 3.0.2)
Imports: ggplot2, grid, gridExtra, magrittr, methods, Rcpp (≥ 1.0.8.3), RcppParallel, rstantools, rstan, scales, stats, utils
LinkingTo: BH (≥ 1.78.0-0), Rcpp (≥ 1.0.8.3), RcppEigen (≥ 0.3.3.9.1), RcppParallel (≥ 5.0.1), rstan, StanHeaders
Suggests: knitr, rmarkdown, roxygen2, StanHeaders, testthat (≥ 3.0.0)
Published: 2025-02-28
DOI: 10.32614/CRAN.package.Bernadette
Author: Lampros Bouranis ORCID iD [aut, cre, cph], European Union [fnd] (Funding by the European Union's Horizon 2020 research and innovation programme under the Marie Sklodowska-Curie grant agreement No 101027218)
Maintainer: Lampros Bouranis <bernadette.aueb at gmail.com>
BugReports: https://github.com/bernadette-eu/Bernadette/issues/
License: GPL (≥ 3)
URL: https://bernadette-eu.github.io/
NeedsCompilation: yes
SystemRequirements: GNU make
Language: en-US
In views: Epidemiology
CRAN checks: Bernadette results

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