Package: mem 2.18
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.
Authors:
mem_2.18.tar.gz
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mem_2.18.tgz(r-4.5-any)mem_2.18.tgz(r-4.4-any)mem_2.18.tgz(r-4.3-any)
mem_2.18.tar.gz(r-4.5-noble)mem_2.18.tar.gz(r-4.4-noble)
mem_2.18.tgz(r-4.4-emscripten)mem_2.18.tgz(r-4.3-emscripten)
mem.pdf |mem.html✨
mem/json (API)
# Install 'mem' in R: |
install.packages('mem', repos = c('https://epiverse-connect.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/lozalojo/mem/issues
Last updated 2 years agofrom:e8bbdcc1df. Checks:3 OK, 5 NOTE. Indexed: no.
Target | Result | Latest binary |
---|---|---|
Doc / Vignettes | OK | Feb 08 2025 |
R-4.5-win | NOTE | Feb 08 2025 |
R-4.5-mac | NOTE | Feb 08 2025 |
R-4.5-linux | NOTE | Feb 08 2025 |
R-4.4-win | NOTE | Feb 08 2025 |
R-4.4-mac | NOTE | Feb 08 2025 |
R-4.3-win | OK | Jan 09 2025 |
R-4.3-mac | OK | Feb 08 2025 |
Exports:epimemepitimingfull.series.graphmemevolutionmemgoodnessmemintensitymemmodelmemstabilitymemsurveillancememsurveillance.animatedmemtimingmemtrendoptimum.by.inspectionprocessPlotsroc.analysistransformdatatransformdata.backtransformseries
Dependencies:bootclicolorspacecpp11dplyrEnvStatsfansifarvergenericsggplot2gluegtableisobandlabelinglatticelifecyclemagrittrMASSMatrixmclustmgcvmunsellnlmenortestpillarpkgconfigpurrrR6RColorBrewerRcppRcppRollrlangscalessmstringistringrtibbletidyrtidyselectutf8vctrsviridisLitewithr