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mem: The Moving Epidemic Method

The Moving Epidemic Method, created by T Vega and JE Lozano (2012, 2015) <doi:10.1111/j.1750-2659.2012.00422.x>, <doi:10.1111/irv.12330>, allows the weekly assessment of the epidemic and intensity status to help in routine respiratory infections surveillance in health systems. Allows the comparison of different epidemic indicators, timing and shape with past epidemics and across different regions or countries with different surveillance systems. Also, it gives a measure of the performance of the method in terms of sensitivity and specificity of the alert week.

Version: 2.18
Depends: R (≥ 3.4.0)
Imports: sm, boot, RColorBrewer, mclust, ggplot2, tidyr, dplyr, purrr, RcppRoll, EnvStats, methods
Suggests: magick
Published: 2023-06-20
DOI: 10.32614/CRAN.package.mem
Author: Jose E. Lozano [aut, cre]
Maintainer: Jose E. Lozano <lozalojo at gmail.com>
BugReports: https://github.com/lozalojo/mem/issues
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
URL: https://github.com/lozalojo/mem
NeedsCompilation: no
Materials: README
In views: Epidemiology
CRAN checks: mem results

Documentation:

Reference manual: mem.pdf

Downloads:

Package source: mem_2.18.tar.gz
Windows binaries: r-devel: mem_2.18.zip, r-release: mem_2.18.zip, r-oldrel: mem_2.18.zip
macOS binaries: r-release (arm64): mem_2.18.tgz, r-oldrel (arm64): mem_2.18.tgz, r-release (x86_64): mem_2.18.tgz, r-oldrel (x86_64): mem_2.18.tgz
Old sources: mem archive

Reverse dependencies:

Reverse imports: memapp

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.