Understand Individual-Level Variation in Infectious Disease Transmission R package superspreading version 0.4.0 CRAN Task View: Epidemiology (https://CRAN.R-project.org/view=Epidemiology) Estimate and understand individual-level variation in transmission. Implements density and cumulative compound Poisson discrete distribution functions (Kremer et al. (2021) <doi:10.1038/s41598-021-93578-x>), as well as functions to calculate infectious disease outbreak statistics given epidemiological parameters on individual-level transmission; including the probability of an outbreak becoming an epidemic/extinct (Kucharski et al. (2020) <doi:10.1016/S1473-3099(20)30144-4>), or the cluster size statistics, e.g. what proportion of cases cause X\% of transmission (Lloyd-Smith et al. (2005) <doi:10.1038/nature04153>). Software Imports: checkmate, rlang, stats Suggests: dplyr, epiparameter (>= 0.4.0), fitdistrplus, ggplot2, ggtext, knitr, purrr, rmarkdown, scales, spelling, testthat (>= 3.0.0) Joshua W. Lambert <joshua.lambert@lshtm.ac.uk> Comprehensive R Archive Network (CRAN) Joshua W. Lambert [aut, cre, cph] (ORCID: <https://orcid.org/0000-0001-5218-3046>), Adam Kucharski [aut, cph] (ORCID: <https://orcid.org/0000-0001-8814-9421>), Dillon C. Adam [aut] (ORCID: <https://orcid.org/0000-0002-7485-9905>), Sebastian Funk [ctb, cph] (ORCID: <https://orcid.org/0000-0002-2842-3406>, .chain_sim uses code from bpmodels::chain_sim), Pratik Gupte [rev] (ORCID: <https://orcid.org/0000-0001-5294-7819>), Hugo Gruson [rev] (ORCID: <https://orcid.org/0000-0002-4094-1476>), James M. Azam [rev, ctb] (ORCID: <https://orcid.org/0000-0001-5782-7330>), Chris Hartgerink [rev] (ORCID: <https://orcid.org/0000-0003-1050-6809>) MIT + file LICENSE (https://CRAN.R-project.org/package=superspreading/LICENSE) 2025-07-15 application/tgz https://CRAN.R-project.org/package=superspreading doi:10.32614/CRAN.package.superspreading en-GB