Package: seirMFG 0.1.0
seirMFG: Mean-Field Game Equilibrium for SEIR Epidemics on Networks
Implements the forward-backward sweep algorithm for computing Nash equilibrium contact policies in SEIR epidemic mean-field games on heterogeneous contact networks, as described in Wang (2026) <doi:10.5281/zenodo.19381052>. Supports both heterogeneous networks with arbitrary degree distributions (e.g., truncated Poisson) and homogeneous networks. Computes equilibrium susceptible contact effort, value functions, epidemic trajectories, and the effective reproduction number Rt.
Authors:
seirMFG_0.1.0.tar.gz
seirMFG_0.1.0.zip(r-4.7)seirMFG_0.1.0.zip(r-4.6)seirMFG_0.1.0.zip(r-4.5)
seirMFG_0.1.0.tgz(r-4.6-any)seirMFG_0.1.0.tgz(r-4.5-any)
seirMFG_0.1.0.tar.gz(r-4.7-any)seirMFG_0.1.0.tar.gz(r-4.6-any)
seirMFG_0.1.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
seirMFG/json (API)
| # Install 'seirMFG' in R: |
| install.packages('seirMFG', repos = c('https://wwang-math.r-universe.dev', 'https://cloud.r-project.org')) |
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated from:c7a7c259d6. Checks:9 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-x86_64 | OK | 114 | ||
| source / vignettes | OK | 164 | ||
| linux-release-x86_64 | OK | 97 | ||
| macos-release-arm64 | OK | 133 | ||
| macos-oldrel-arm64 | OK | 160 | ||
| windows-devel | OK | 76 | ||
| windows-release | OK | 73 | ||
| windows-oldrel | OK | 70 | ||
| wasm-release | OK | 91 |
Exports:compute_Rtmake_poisson_networkseir_mfg_hetseir_mfg_homsir_mfg_hetsir_mfg_hom
Dependencies:
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Compute the time-varying effective reproduction number Rt | compute_Rt |
| Build a truncated Poisson degree distribution | make_poisson_network |
| Solve the heterogeneous-network SEIR mean-field game | seir_mfg_het |
| Solve the homogeneous-network SEIR mean-field game | seir_mfg_hom |
| Solve the heterogeneous-network SIR mean-field game | sir_mfg_het |
| Solve the homogeneous-network SIR mean-field game | sir_mfg_hom |
