Package: fastbeta 0.5.2

Mikael Jagan

fastbeta: Fast Approximation of Time-Varying Infectious Disease Transmission Rates

A fast method for approximating time-varying infectious disease transmission rates from disease incidence time series and other data, based on a discrete time approximation of an SEIR model, as analyzed in Jagan et al. (2020) <doi:10.1371/journal.pcbi.1008124>.

Authors:Mikael Jagan [aut, cre], David Earn [ctb]

fastbeta_0.5.2.tar.gz
fastbeta_0.5.2.zip(r-4.7)fastbeta_0.5.2.zip(r-4.6)fastbeta_0.5.2.zip(r-4.5)
fastbeta_0.5.2.tgz(r-4.6-x86_64)fastbeta_0.5.2.tgz(r-4.6-arm64)fastbeta_0.5.2.tgz(r-4.5-x86_64)fastbeta_0.5.2.tgz(r-4.5-arm64)
fastbeta_0.5.2.tar.gz(r-4.7-arm64)fastbeta_0.5.2.tar.gz(r-4.7-x86_64)fastbeta_0.5.2.tar.gz(r-4.6-arm64)fastbeta_0.5.2.tar.gz(r-4.6-x86_64)
fastbeta_0.5.2.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
fastbeta/json (API)
NEWS

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

Bug tracker:https://github.com/davidearn/fastbeta/issues

Datasets:
  • pneumonia - Pneumonia and Influenza Mortality in Philadelphia, PA, 1918
  • seir.ts01 - Often Used Simulations
  • seir.ts02 - Often Used Simulations
  • smallpox - Smallpox Mortality in London, England, 1661-1930

On CRAN:

Conda:

3.74 score 1 stars 6 scripts 144 downloads 12 exports 0 dependencies

Last updated from:4736a27564. Checks:13 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-arm64OK107
linux-devel-x86_64OK114
source / vignettesOK182
linux-release-arm64OK120
linux-release-x86_64OK140
macos-release-arm64OK88
macos-release-x86_64OK272
macos-oldrel-arm64OK108
macos-oldrel-x86_64OK220
windows-develOK88
windows-releaseOK90
windows-oldrelOK90
wasm-releaseOK80

Exports:cbind.tsdeconvolvefastbetafastbeta.bootstrapfastbeta.matrixptpiseirseir.eeseir.jacobianseir.R0sirsir.aoi

Dependencies: