#' seairmobility: Mobility-Based SEAIR Epidemic Models
#'
#' The \pkg{seairmobility} package provides tools for simulating and
#' analysing mobility-based SEAIR compartmental epidemic models.
#' Each individual in the population carries a fixed mobility trait
#' \eqn{m \in (0,1)} that scales both their susceptibility and their
#' infectiousness through a rank-one transmission kernel.  The
#' infectious period is split into an asymptomatic stage with
#' relative infectiousness \eqn{\alpha} and a symptomatic stage with
#' mobility-reduction factor \eqn{\delta}.
#'
#' The main functions are
#' \describe{
#'   \item{\code{\link{seair_params}}}{Build a parameter list.}
#'   \item{\code{\link{seair_init}}}{Build initial conditions.}
#'   \item{\code{\link{seair_solve}}}{Solve the SEAIR system.}
#'   \item{\code{\link{seair_aggregate}}}{Aggregate solution over
#'     mobility.}
#'   \item{\code{\link{R0_seair}}}{Basic reproduction number.}
#'   \item{\code{\link{final_size}}}{Final epidemic size under vanishing
#'     seed.}
#'   \item{\code{\link{fit_mobility}}}{Parametric least-squares fit of
#'     the mobility distribution from an observed symptomatic time
#'     series.}
#' }
#'
#' @references
#' Jiang, N., Chu, W., and Li, Y. (2025).
#' Modeling, inference, and prediction in mobility-based
#' compartmental models for epidemiology.
#' \emph{SIAM Journal on Applied Mathematics}, 85(5), 2355--2375.
#' \doi{10.1137/24M1691557}.
#'
#' @name seairmobility-package
#' @aliases seairmobility
"_PACKAGE"
