runShinyApp

<p>Launches landsepi shiny application into browser</p>

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>.

Jean-Francois Rey

landsepi

Landscape Epidemiology and Evolution

Loup Rimbaud

Marta Zaffaroni

Jean-François Rey

Julien Papaix

Jean-Loup Gaussen

Manon Couty

runShinyApp function

runShinyApp — runShinyApp

runShinyApp: runShinyApp

Description

Usage

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Details