doi:10.1111/2041-210X.13318> Some of the notable capabilities of 'MGDrivE2' include: incorporation of human populations, epidemiological dynamics, time-varying parameters, and a continuous-time simulation framework with various sampling algorithms for both deterministic and stochastic interpretations. 'MGDrivE2' relies on the genetic inheritance structures provided in package 'MGDrivE', so we suggest installing that package initially.">

MGDrivE2: Mosquito Gene Drive Explorer 2 (original) (raw)

A simulation modeling framework which significantly extends capabilities from the 'MGDrivE' simulation package via a new mathematical and computational framework based on stochastic Petri nets. For more information about 'MGDrivE', see our publication: Sánchez et al. (2019) <doi:10.1111/2041-210X.13318> Some of the notable capabilities of 'MGDrivE2' include: incorporation of human populations, epidemiological dynamics, time-varying parameters, and a continuous-time simulation framework with various sampling algorithms for both deterministic and stochastic interpretations. 'MGDrivE2' relies on the genetic inheritance structures provided in package 'MGDrivE', so we suggest installing that package initially.

Version: 2.1.0
Depends: R (≥ 3.1.0)
Imports: Matrix, deSolve, statmod
Suggests: MGDrivE, knitr, rmarkdown, markdown, ggplot2
Published: 2023-03-04
DOI: 10.32614/CRAN.package.MGDrivE2
Author: Sean L. Wu [aut], Jared B. Bennett [aut], Héctor Manuel Sánchez Castellanos [ctb], Tomás M. León [ctb], Andrew J. Dolgert [ctb], John M. Marshall [aut], Agastya Mondal [aut, cre]
Maintainer: Agastya Mondal
BugReports: https://github.com/MarshallLab/MGDrivE/issues
License: GPL-3
URL: https://marshalllab.github.io/MGDrivE/docs_v2/index.html,https://www.marshalllab.com/
NeedsCompilation: no
Materials: README NEWS
CRAN checks: MGDrivE2 results

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