Mobility-Based SEAIR Epidemic Models R package seairmobility version 0.1.0 Tools for simulating, analysing, and fitting mobility-based SEAIR (Susceptible-Exposed-Asymptomatic-Infectious-Recovered) compartmental epidemic models with heterogeneous individual mobility. Each individual carries a fixed mobility trait that scales susceptibility and infectiousness through a rank-one kernel, extending the mobility-based compartmental framework of Jiang et al. (2025) <doi:10.1137/24M1691557> by adding a latent stage and a behavioural split between asymptomatic and symptomatic infectiousness. Provides a numerical solver for the underlying partial differential equation system, closed-form computation of the basic reproduction number R0 and the final epidemic size, and a parametric least-squares routine for recovering the mobility distribution from an observed aggregate symptomatic time series. Software Imports: deSolve (>= 1.30), stats, graphics Suggests: testthat (>= 3.0.0) Weinan Wang <ww@ou.edu> Comprehensive R Archive Network (CRAN) Weinan Wang [aut, cre] MIT + file LICENSE (https://CRAN.R-project.org/package=seairmobility/LICENSE) 2026-04-28 application/tgz https://CRAN.R-project.org/package=seairmobility doi:10.32614/CRAN.package.seairmobility