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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 |
| 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 <amondal13 at gmail.com> |
| 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 |
| Reference manual: | MGDrivE2.pdf |
| Vignettes: |
adv-topics seir-dynamics epi-network epi-node-imperial epi-node-decoupled epi-node inhomogeneous lifecycle-network lifecycle-node |
| Package source: | MGDrivE2_2.1.0.tar.gz |
| Windows binaries: | r-devel: MGDrivE2_2.1.0.zip, r-release: MGDrivE2_2.1.0.zip, r-oldrel: MGDrivE2_2.1.0.zip |
| macOS binaries: | r-release (arm64): MGDrivE2_2.1.0.tgz, r-oldrel (arm64): MGDrivE2_2.1.0.tgz, r-release (x86_64): MGDrivE2_2.1.0.tgz, r-oldrel (x86_64): MGDrivE2_2.1.0.tgz |
| Old sources: | MGDrivE2 archive |
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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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