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imprinting: Calculate Birth Year-Specific Probabilities of Immune Imprinting to Influenza

Reconstruct birth-year specific probabilities of immune imprinting to influenza A, using the methods of Gostic et al. (2016) <doi:10.1126/science.aag1322>. Plot, save, or export the calculated probabilities for use in your own research. By default, the package calculates subtype-specific imprinting probabilities, but with user-provided frequency data, it is possible to calculate probabilities for arbitrary kinds of primary exposure to influenza A, including primary vaccination and exposure to specific clades, strains, etc.

Version: 0.1.1
Depends: R (≥ 3.5.0)
Imports: dplyr (≥ 1.0.9), tidyr (≥ 1.2.0), cowplot (≥ 1.0.0), ggplot2, tidyselect
Suggests: knitr, rmarkdown, testthat (≥ 3.0.0), devtools
Published: 2022-12-16
Author: Katelyn Gostic [aut], Alex Byrnes [ctb, cre]
Maintainer: Alex Byrnes <abyrnes at uchicago.edu>
BugReports: https://github.com/cobeylab/imprinting/issues
License: MIT + file LICENSE
URL: https://cobeylab.github.io/imprinting/
NeedsCompilation: no
CRAN checks: imprinting results

Documentation:

Reference manual: imprinting.pdf
Vignettes: custom-imprinting-types
intro-to-imprinting

Downloads:

Package source: imprinting_0.1.1.tar.gz
Windows binaries: r-devel: imprinting_0.1.1.zip, r-release: imprinting_0.1.1.zip, r-oldrel: imprinting_0.1.1.zip
macOS binaries: r-release (arm64): imprinting_0.1.1.tgz, r-oldrel (arm64): imprinting_0.1.1.tgz, r-release (x86_64): imprinting_0.1.1.tgz, r-oldrel (x86_64): imprinting_0.1.1.tgz
Old sources: imprinting archive

Linking:

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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.
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