resevol

BBSRC FAPESP Newton Funded Project to model how the spatial scale of heterogeneity in fungal isolate application and crop plant cultivation affects variation in the selection landscape for biopesticide resistance.

https://github.com/bradduthie/resevol

Science Score: 26.0%

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    Low similarity (8.4%) to scientific vocabulary
Last synced: 11 months ago · JSON representation

Repository

BBSRC FAPESP Newton Funded Project to model how the spatial scale of heterogeneity in fungal isolate application and crop plant cultivation affects variation in the selection landscape for biopesticide resistance.

Basic Info
  • Host: GitHub
  • Owner: bradduthie
  • Language: HTML
  • Default Branch: master
  • Homepage:
  • Size: 98 MB
Statistics
  • Stars: 3
  • Watchers: 2
  • Forks: 0
  • Open Issues: 11
  • Releases: 0
Created about 8 years ago · Last pushed about 1 year ago
Metadata Files
Readme Changelog

README.md

Resistance Evolution (resevol) simulation package

The resevol R package is a tool for simulating social-ecological individual-based models (IBMs) for the ecology and evolution of agricultural pest species. Simulations model a spatially explicit landscape broken down into one or more independent farms on which one of up to 10 crops can be grown and one of up to 10 pesticides can be applied. Crop and pesticide application can be rotated during a simulation at different spatial and temporal scales to simulate the effects of heterogeneity of pest environment. Haploid or diploid pest genomes are modelled explicitly with an arbitrary number of loci that map to any number of traits. This mapping of loci to traits can be set with a pre-specified trait correlation structure, which is found using an evolutionary algorithm run using the minegmatrix() function. Individual pest traits can affect movement, reproduction, feeding, pesticide tolerance, metabolism, and other individual characteristics. Simulations of pest populations dynamics run with the runsim_farm() function can track individual pest locations, pedigree, behaviour, and trait evolution.


This software was developed as part of the project for Enhancing Diversity to Overcome Resistance Evolution (ENDORSE) led by Dr Luc Bussière, Dr Ricardo Polanczyk, and Dr Matthew Tinsley (Co-Investigators: Nils Bunnefeld, Yelitza Colmenarez, Natália Corniani, Renata de Lima, Brad Duthie, Steve Edgington, Leonardo Fraceto, Belinda Luke, and Rosie Mangan). The ENDORSE project is a joint Newton funded international partnership between the Biotechnology and Biological Sciences Research Council (BBSRC) in the UK and the São Paulo Research Foundation (FAPESP) in Brazil under BBSRC award reference BB/S018956/1 and FAPESP award reference 2018/21089-3. ENDORSE is a partnership among Universidade Estadual Paulista (UNESP), the University of Stirling (UoS), and the Centre for Agricultural and Biosciences International (CABI). This software package is authored by Brad Duthie and Rose McKeon, and is maintained by Brad Duthie.


Installation

Install from CRAN

To install this package from CRAN.

install.packages("resevol")

Install with GitHub

To install this package from GitHub, make sure that the devtools library is installed.

install.packages("devtools") library(devtools)

Use install_github to install using devtools.

install_github("bradduthie/resevol")

Documentation

To get started with the resevol package, we strongly recommend first reading through the Get Started vignette.

Owner

  • Name: Brad Duthie
  • Login: bradduthie
  • Kind: user
  • Location: Stirling, Scotland
  • Company: University of Stirling

I am an evolutionary ecologist, theoretical biologist, and ecological modeller.

GitHub Events

Total
  • Issues event: 4
  • Watch event: 2
  • Issue comment event: 4
  • Push event: 15
  • Create event: 2
Last Year
  • Issues event: 4
  • Watch event: 2
  • Issue comment event: 4
  • Push event: 15
  • Create event: 2

Committers

Last synced: over 2 years ago

All Time
  • Total Commits: 347
  • Total Committers: 2
  • Avg Commits per committer: 173.5
  • Development Distribution Score (DDS): 0.084
Past Year
  • Commits: 18
  • Committers: 1
  • Avg Commits per committer: 18.0
  • Development Distribution Score (DDS): 0.0
Top Committers
Name Email Commits
Brad Duthie b****e@g****m 318
Rose r****n@g****m 29

Issues and Pull Requests

Last synced: 11 months ago

All Time
  • Total issues: 46
  • Total pull requests: 6
  • Average time to close issues: 8 months
  • Average time to close pull requests: 10 minutes
  • Total issue authors: 3
  • Total pull request authors: 2
  • Average comments per issue: 3.61
  • Average comments per pull request: 0.0
  • Merged pull requests: 1
  • Bot issues: 0
  • Bot pull requests: 5
Past Year
  • Issues: 0
  • Pull requests: 0
  • Average time to close issues: N/A
  • Average time to close pull requests: N/A
  • Issue authors: 0
  • Pull request authors: 0
  • Average comments per issue: 0
  • Average comments per pull request: 0
  • Merged pull requests: 0
  • Bot issues: 0
  • Bot pull requests: 0
Top Authors
Issue Authors
  • bradduthie (29)
  • rosemckeon (17)
  • luc-bussiere (1)
Pull Request Authors
  • dependabot[bot] (5)
  • rosemckeon (1)
Top Labels
Issue Labels
enhancement (13) bug (3)
Pull Request Labels
dependencies (5)

Packages

  • Total packages: 1
  • Total downloads:
    • cran 252 last-month
  • Total dependent packages: 0
  • Total dependent repositories: 0
  • Total versions: 6
  • Total maintainers: 1
cran.r-project.org: resevol

Simulate Agricultural Production and Evolution of Pesticide Resistance

  • Versions: 6
  • Dependent Packages: 0
  • Dependent Repositories: 0
  • Downloads: 252 Last month
Rankings
Stargazers count: 28.5%
Forks count: 28.8%
Dependent packages count: 29.8%
Dependent repos count: 35.5%
Average: 39.1%
Downloads: 73.0%
Maintainers (1)
Last synced: 12 months ago

Dependencies

DESCRIPTION cran
  • R >= 4.0.0 depends
  • stats >= 4.0.0 imports
  • utils >= 4.0.0 imports
  • knitr * suggests
  • markdown * suggests
  • rmarkdown * suggests
  • testthat * suggests