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-Removedâ) 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>.
Version: 1.5.2 Depends: R (≥ 4.2.0), sp (≥ 1.0-17) Imports: methods, utils, stats (≥ 3.0.2), grDevices (≥ 3.0.0), graphics (≥ 3.0.0), parallel, Rcpp (≥ 0.9.0), Matrix (≥ 1.3-0), mvtnorm, fields, splancs, sf, DBI, RSQLite, foreach, doParallel, deSolve LinkingTo: Rcpp, testthat Suggests: testthat (≥ 3.0.0), shiny, shinyjs, DT, knitr, rmarkdown Published: 2025-07-31 DOI: 10.32614/CRAN.package.landsepi Author: Loup Rimbaud [aut], Marta Zaffaroni [aut], Jean-François Rey [aut, cre], Julien Papaix [aut], Jean-Loup Gaussen [ctb], Manon Couty [ctb] Maintainer: Jean-François Rey <jean-francois.rey at inrae.fr> BugReports: https://forge.inrae.fr/landsepi/landsepi/-/issues License: GPL-2 | GPL-3 | file LICENSE [expanded from: GPL (≥ 2) | file LICENSE] URL: https://landsepi.pages-forge.inrae.fr/landsepi, https://forge.inrae.fr/landsepi/landsepi NeedsCompilation: yes SystemRequirements: C++, gsl Citation: landsepi citation info Materials: NEWS In views: Agriculture CRAN checks: landsepi resultsRetroSearch is an open source project built by @garambo | Open a GitHub Issue
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