# -------------------------------------------- # CITATION file created with {cffr} R package # See also: https://docs.ropensci.org/cffr/ # -------------------------------------------- cff-version: 1.2.0 message: 'To cite package "serodynamics" in publications use:' type: software license: MIT title: 'serodynamics: Modeling Longitudinal Antibody Responses to Infection' version: 0.1.0 abstract: Implements Bayesian hierarchical models for estimating antibody kinetic parameters from longitudinal serological data. Fits two-phase within-host models capturing antibody rise, peak, and decay following pathogen infection, using 'JAGS' for posterior inference. Designed as the upstream companion to the 'serocalculator' package for end-to-end seroepidemiological analysis. Methods are described in Teunis and colleagues (2016) and Teunis and van Eijkeren (2020) . authors: - family-names: Teunis given-names: Peter email: p.teunis@emory.edu orcid: https://orcid.org/0000-0003-1904-6044 - family-names: Schildhauer given-names: Samuel email: sschildhauer@ucdavis.edu orcid: https://orcid.org/0000-0001-7139-1086 - family-names: Lee given-names: Kwan Ho email: ksjlee@ucdavis.edu orcid: https://orcid.org/0009-0004-9723-2007 - family-names: Aiemjoy given-names: Kristen email: kaiemjoy@ucdavis.edu orcid: https://orcid.org/0000-0003-1886-2699 - family-names: Morrison given-names: Douglas Ezra email: demorrison@ucdavis.edu orcid: https://orcid.org/0000-0002-7195-830X repository: https://cran.r-universe.dev repository-code: https://github.com/UCD-SERG/serodynamics commit: cd0b7fc01fe04a42951b8f4126ad4a0b61537a39 url: https://ucd-serg.github.io/serodynamics/ date-released: '2026-06-02' contact: - family-names: Schildhauer given-names: Samuel email: sschildhauer@ucdavis.edu orcid: https://orcid.org/0000-0001-7139-1086