DESCRIPTION

Package: serosim
Title: Serosurvey simulation
Version: 0.0.0.9000
Authors@R: c(
    person("Arthur", "Menezes", , "am83@princeton.edu", role = c("aut", "cre")),
    person("James", "Hay", , "james.hay@ndm.ox.ac.uk", role = "aut")
  )
Description: serosim is an open source R package designed to aid inference
    from serological surveys, by simulating data arising from
    user-specified vaccine and infection-generated antibody kinetics
    processes using a random effects model. serosim allows users to
    specify and adjust model inputs representing underlying processes
    responsible for generating the observed titer values like time-varying
    patterns of infection and vaccination, population demography, immunity
    and antibody kinetics, and serological survey sampling design in order
    to best represent the population and disease system(s) of interest.
License: GPL (>= 3)
URL: https://github.com/seroanalytics/serosim,
    https://seroanalytics.github.io/serosim/
BugReports: https://github.com/seroanalytics/serosim/issues
Depends: 
    R (>= 3.5.0)
Imports: 
    data.table,
    deSolve,
    dplyr,
    ggplot2,
    reshape2,
    stats,
    tidyr,
    abind,
    foreach,
    parallel,
    doParallel
Suggests: 
    bayesplot,
    coda,
    devtools,
    ggpubr,
    knitr,
    patchwork,
    plyr,
    remotes,
    rmarkdown,
    rstan,
    testthat (>= 3.0.0),
    tidyverse,
    viridis
LinkingTo: 
    Rcpp,
    RcppArmadillo,
    RcppParallel
Remotes:
    epiverse-trace/serofoi,
    seroanalytics/serosolver
VignetteBuilder: 
    knitr
Config/testthat/edition: 3
Encoding: UTF-8
LazyData: true
Maitainer: Arthur Menezes <am83@princeton.edu>
Roxygen: list(markdown = TRUE)
RoxygenNote: 7.2.3