Package: landsepi
Type: Package
Encoding: UTF-8
Title: Landscape Epidemiology and Evolution
Version: 1.0.1
Date: 2020-07-02
Authors@R: c(person("Loup", "Rimbaud", role = "aut", email = "loup.rimbaud@inrae.fr"),
        person("Julien", "Papaix", role = "aut", email = "julien.papaix@inrae.fr"),
        person("Jean-Francois", "Rey", role = "cre", email = "jean-francois.rey@inrae.fr"),
        person("Jean-Loup", "Gaussen", role = "ctb", email = "jean-loup-thomas.gaussen@inrae.fr"))
Author: Loup Rimbaud [aut],
  Julien Papaix [aut],
  Jean-Francois Rey [cre],
  Jean-Loup Gaussen [ctb]
Maintainer: Jean-Francois Rey <jean-francois.rey@inrae.fr>
Description: A stochastic, spatially-explicit, demo-genetic model simulating the spread and evolution 
    of a plant pathogen in a heterogeneous landscape to assess resistance deployment strategies. 
    It is based on a spatial geometry for describing the landscape and allocation of different cultivars, 
    a dispersal kernel for the dissemination of the pathogen, and a SEIR 
    ('Susceptible-Exposed-Infectious-Removed’) structure with a discrete time step.
    It provides a useful tool to assess the performance of a wide range of deployment options with 
    respect to their epidemiological, evolutionary and economic outcomes.
    Loup Rimbaud, Julien Papaïx, Jean-François Rey, Luke G Barrett, 
    Peter H Thrall (2018) <doi:10.1371/journal.pcbi.1006067>.
URL: https://gitlab.paca.inra.fr/CSIRO-INRA/landsepi
BugReports: https://gitlab.paca.inra.fr/CSIRO-INRA/landsepi/issues
License: GPL (>= 2) | file LICENSE
LazyData: true
BuildVignettes: true
NeedsCompilation: yes
Biarch: true
SystemRequirements: C++11, gsl
Depends: methods, utils, grDevices (>= 3.0.0), graphics (>= 3.0.0), R
        (>= 3.3.0), sp (>= 1.0-17),
Imports: Rcpp (>= 0.9.0), stats (>= 3.0.2), Matrix, mvtnorm, fields,
        splancs, sf, DBI, RSQLite, foreach, parallel, doParallel
Collate: 'Math-Functions.R' 'RcppExports.R' 'graphics.R' 'AgriLand.R'
        'Class-LandsepiParams.R' 'GPKGTools.R' 'tools.R'
        'Methods-LandsepiParams.R' 'catch-routine-registration.R'
        'demo_landsepi.R' 'landsepi.R' 'output.R' 'runShiny.R'
        'simul_landsepi.R'
LinkingTo: Rcpp, testthat
RoxygenNote: 7.1.1
Suggests: testthat, shiny, shinyjs, DT, knitr, rmarkdown
VignetteBuilder: knitr
Packaged: 2020-07-02 12:23:43 UTC; root
Repository: CRAN
Date/Publication: 2020-07-02 13:10:02 UTC
Built: R 4.1.0; x86_64-w64-mingw32; 2020-08-03 11:53:04 UTC; windows
Archs: i386, x64
