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.

incidental: Implements Empirical Bayes Incidence Curves

Make empirical Bayes incidence curves from reported case data using a specified delay distribution.

Version: 0.1
Depends: R (≥ 3.5.0)
Imports: ggplot2, MASS, matrixStats, numDeriv, dlnm, stats, utils
Suggests: knitr, rmarkdown, testthat
Published: 2020-09-16
Author: Andrew Miller [aut], Lauren Hannah [aut, cre], Nicholas Foti [aut], Joseph Futoma [aut], Apple, Inc. [cph]
Maintainer: Lauren Hannah <lauren_hannah at apple.com>
License: MIT + file LICENSE
NeedsCompilation: no
Materials: README NEWS
CRAN checks: incidental results

Documentation:

Reference manual: incidental.pdf
Vignettes: incidental-tutorial

Downloads:

Package source: incidental_0.1.tar.gz
Windows binaries: r-devel: incidental_0.1.zip, r-release: incidental_0.1.zip, r-oldrel: incidental_0.1.zip
macOS binaries: r-release (arm64): incidental_0.1.tgz, r-oldrel (arm64): incidental_0.1.tgz, r-release (x86_64): incidental_0.1.tgz, r-oldrel (x86_64): incidental_0.1.tgz

Linking:

Please use the canonical form https://CRAN.R-project.org/package=incidental 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.