CRAN/E | landsepi

landsepi

Landscape Epidemiology and Evolution

Installation

About

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.

Citation landsepi citation info
csiro-inra.pages.biosp.inrae.fr/landsepi/
gitlab.paca.inrae.fr/CSIRO-INRA/landsepi
System requirements C++, gsl
Bug report File report

Key Metrics

Version 1.4.0
R ≥ 4.2.0
Published 2024-03-12 38 days ago
Needs compilation? yes
License GPL-2
License GPL-3
License File
CRAN checks landsepi results

Downloads

Yesterday 52 0%
Last 7 days 73 -16%
Last 30 days 443 -15%
Last 90 days 1.558 +55%
Last 365 days 4.888 -2%

Maintainer

Maintainer

Jean-François Rey

jean-francois.rey@inrae.fr

Authors

Loup Rimbaud

aut

Julien Papaix

aut

Jean-François Rey

aut / cre

Marta Zaffaroni

ctb

Jean-Loup Gaussen

ctb

Manon Couty

ctb

Material

NEWS
Reference manual
Package source

In Views

Agriculture

Vignettes

1 - Running a simple simulation
2 - Running a numerical experimental design
3 - Parameterising landscape and dispersal
4 - Running a simple simulation with a pathogen with mixed reproduction system
6 - Poster
5 - list of parameters

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Old Sources

landsepi archive

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

Suggests

testthat ≥ 3.0.0
shiny
shinyjs
DT
knitr
rmarkdown

LinkingTo

Rcpp
testthat