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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 |
| DOI: | 10.32614/CRAN.package.incidental |
| 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 |
| Reference manual: | incidental.pdf |
| Vignettes: |
incidental-tutorial |
| 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 |
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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.