Package: genSEIR 0.1.1
Selcuk Korkmaz
genSEIR: Predict Epidemic Curves with Generalized SEIR Modeling
Performs generalized Susceptible-Exposed-Infected-Recovered (SEIR) modeling to predict epidemic curves. The method is described in Peng et al. (2020) <doi:10.1101/2020.02.16.20023465>.
Authors:
genSEIR_0.1.1.tar.gz
genSEIR_0.1.1.tar.gz(r-4.5-noble)genSEIR_0.1.1.tar.gz(r-4.4-noble)
genSEIR_0.1.1.tgz(r-4.4-emscripten)genSEIR_0.1.1.tgz(r-4.3-emscripten)
genSEIR.pdf |genSEIR.html✨
genSEIR/json (API)
# Install 'genSEIR' in R: |
install.packages('genSEIR', repos = c('https://cran.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 3 years agofrom:9110ed1d9e. Checks:OK: 2. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Nov 16 2024 |
R-4.5-linux | OK | Nov 16 2024 |
Exports:checkRatesfit_SEIQRDPgetDataCOVIDplot_SEIQRDPpredict_SEIQRDPSEIQRDP
Dependencies:clicolorspacedigestfansifarverggplot2gluegtableisobandlabelinglatticelifecyclemagrittrMASSMatrixmgcvminpack.lmmunsellnlmenlsrpillarpkgconfigpracmaR6RColorBrewerrlangscalestibbleutf8vctrsviridisLitewithr
Readme and manuals
Help Manual
Help page | Topics |
---|---|
Check Rates | checkRates |
Fit SEIQRDP function | fit_SEIQRDP |
Compute the matrix A | getA |
Get COVID-19 Data | getDataCOVID |
Estimate Death Rate | getKappaFun |
Estimate Recovery Rate | getLambdaFun |
Anonymous function approximating the death rate | kappaFun |
Anonymous function approximating the recovery rate | lambdaFun |
Model function | modelFun |
Plots for Epidemic Curves | plot_SEIQRDP |
Predict cases using generalized SEIR model | predict_SEIQRDP |
Runge-Kutta 4th Order Method to Solve Differential Equation | RK4 |
Simulate generalized SEIR model | SEIQRDP |
Fitted Results for SEIQRDP | SEIQRDP_for_fitting |