# -------------------------------------------- # CITATION file created with {cffr} R package # See also: https://docs.ropensci.org/cffr/ # -------------------------------------------- cff-version: 1.2.0 message: 'To cite package "nbTransmission" in publications use:' type: software license: MIT title: 'nbTransmission: Naive Bayes Transmission Analysis' version: 1.1.4 identifiers: - type: doi value: 10.32614/CRAN.package.nbTransmission abstract: Estimates the relative transmission probabilities between cases in an infectious disease outbreak or cluster using naive Bayes. Included are various functions to use these probabilities to estimate transmission parameters such as the generation/serial interval and reproductive number as well as finding the contribution of covariates to the probabilities and visualizing results. The ideal use is for an infectious disease dataset with metadata on the majority of cases but more informative data such as contact tracing or pathogen whole genome sequencing on only a subset of cases. For a detailed description of the methods see Leavitt et al. (2020) . authors: - family-names: Leavitt given-names: Sarah V email: sv1205@bu.edu preferred-citation: type: article title: Estimating the relative probability of direct transmission between infectious disease patients authors: - family-names: Leavitt given-names: Sarah V. - family-names: Lee given-names: Robyn S. - family-names: Sebastiani given-names: Paola - family-names: Horsburgh given-names: C Robert - family-names: Jenkins given-names: Helen E. - family-names: White given-names: Laura F journal: International Journal of Epidemiology url: https://doi.org/10.1093/ije/dyaa031 volume: '49' issue: '3' year: '2020' repository: https://epiverse-connect.r-universe.dev repository-code: https://github.com/sarahleavitt/nbTransmission commit: 5469d371b40052029564de6d390f4da31abb59eb url: https://sarahleavitt.github.io/nbTransmission/ date-released: '2024-01-30' contact: - family-names: Leavitt given-names: Sarah V email: sv1205@bu.edu