Package: hybridModels
Version: 0.3.5
Title: Stochastic Hybrid Models in Dynamic Networks
Date: 2018-06-15
License: GPL (>= 2)
Depends: R (>= 3.3.1),
Imports: doParallel, foreach, ggplot2, GillespieSSA, parallel,
        reshape2, stats, stringr, grid
Description: Simulates stochastic hybrid models for transmission of infectious
    diseases in dynamic networks. It is a metapopulation model in which each
    node in the network is a sub-population and disease spreads within nodes
    and among them, combining two approaches: stochastic simulation algorithm
    or its approximations (Gillespie DT (2007)
    <doi:10.1146/annurev.physchem.58.032806.104637>) and individual-based
    approach, respectively. Movement among nodes are data based and can be
    irregular. Equations that models spread within nodes are customizable and
    there are two link types among nodes: migration and influence (commuting).
LazyLoad: true
LazyData: true
Authors@R: c(person(given = "Fernando", family = "S. Marques",
                    email = "fernandosix@gmail.com", role = c("aut", "cre")),
             person(given = "Jose", family="H. H. Grisi-Filho",
                    email = "zegrisi@gmail.com", role = "aut"),
             person(given = "Marcos", family = "Amaku",
                    email = "marcos.amaku@gmail.com", role = "aut"))
Author: Fernando S. Marques [aut, cre],
  Jose H. H. Grisi-Filho [aut],
  Marcos Amaku [aut]
Maintainer: Fernando S. Marques <fernandosix@gmail.com>
URL: https://github.com/fernandosm/hybridModels
BugReports: https://github.com/fernandosm/hybridModels/issues
RoxygenNote: 6.0.1
NeedsCompilation: no
Packaged: 2018-06-15 03:54:54 UTC; zion
Repository: CRAN
Date/Publication: 2018-06-15 18:59:34 UTC
