The hardware and bandwidth for this mirror is donated by dogado GmbH, the Webhosting and Full Service-Cloud Provider. Check out our Wordpress Tutorial.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]dogado.de.

epimdr2: Functions and Data for "Epidemics: Models and Data in R (2nd Edition)"

Functions, data sets and shiny apps for "Epidemics: Models and Data in R (2nd edition)" by Ottar N. Bjornstad (2022, ISBN: 978-3-031-12055-8) <https://link.springer.com/book/10.1007/978-3-319-97487-3>. The package contains functions to study the Susceptible-Exposed-Infected-Removed SEIR model, spatial and age-structured Susceptible-Infected-Removed SIR models; time-series SIR and chain-binomial stochastic models; catalytic disease models; coupled map lattice models of spatial transmission and network models for social spread of infection. The package is also an advanced quantitative companion to the 'Coursera' Epidemics Massive Online Open Course <https://www.coursera.org/learn/epidemics>.

Version: 1.0-9
Depends: R (≥ 4.0.0), shiny, deSolve, plotly, polspline
Imports: phaseR, ggplot2
Suggests: ade4, bbmle, fields, forecast, imputeTS, lme4, ncf, nleqslv, nlme, nlts, plotrix, pomp, rootSolve, Rwave, rworldmap, statnet, scatterplot3d
Published: 2022-12-15
Author: Ottar N. Bjornstad [aut, cre]
Maintainer: Ottar N. Bjornstad <onb1 at psu.edu>
License: GPL-3
URL: <https://github.com/objornstad/epimdr2>, <https://link.springer.com/book/10.1007/978-3-319-97487-3>, <https://ento.psu.edu/directory/onb1>
NeedsCompilation: no
Materials: README
CRAN checks: epimdr2 results

Documentation:

Reference manual: epimdr2.pdf

Downloads:

Package source: epimdr2_1.0-9.tar.gz
Windows binaries: r-devel: epimdr2_1.0-9.zip, r-release: epimdr2_1.0-9.zip, r-oldrel: epimdr2_1.0-9.zip
macOS binaries: r-release (arm64): epimdr2_1.0-9.tgz, r-oldrel (arm64): epimdr2_1.0-9.tgz, r-release (x86_64): epimdr2_1.0-9.tgz, r-oldrel (x86_64): epimdr2_1.0-9.tgz
Old sources: epimdr2 archive

Linking:

Please use the canonical form https://CRAN.R-project.org/package=epimdr2 to link to this page.

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.
Health stats visible at Monitor.