Package: genSEIR 0.1.0

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:Selcuk Korkmaz

genSEIR_0.1.0.tar.gz
genSEIR_0.1.0.zip(r-4.7-any)genSEIR_0.1.0.zip(r-4.6-any)genSEIR_0.1.0.zip(r-4.5-any)
genSEIR_0.1.0.tgz(r-4.6-any)genSEIR_0.1.0.tgz(r-4.5-any)
genSEIR_0.1.0.tar.gz(r-4.7-any)genSEIR_0.1.0.tar.gz(r-4.6-any)
genSEIR_0.1.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
genSEIR/json (API)

# Install 'genSEIR' in R:
install.packages('genSEIR', repos = c('https://epiverse-connect.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/selcukorkmaz/genseir/issues

On CRAN:

Conda:

covid-19forecastnonlinear-optimizationseir-model

2.00 score 1 stars 370 downloads 5 exports 21 dependencies

Last updated from:223b430cbb. Checks:9 OK. Indexed: no.

TargetResultTimeFilesSyslog
linux-develOK107
source / vignettesOK136
linux-releaseOK105
macos-releaseOK108
macos-oldrelOK74
windows-develOK72
windows-releaseOK73
windows-oldrelOK91
wasm-releaseOK83

Exports:checkRatesfit_SEIQRDPgetDataCOVIDplotSEIQRDPSEIQRDP

Dependencies:clicpp11digestfarverggplot2gluegtableisobandlabelinglifecycleminpack.lmnlsrpracmaR6RColorBrewerrlangS7scalesvctrsviridisLitewithr