Package: mem 2.19
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_2.19.tar.gz
mem_2.19.zip(r-4.7)mem_2.19.zip(r-4.6)mem_2.19.zip(r-4.5)
mem_2.19.tgz(r-4.6-any)mem_2.19.tgz(r-4.5-any)
mem_2.19.tar.gz(r-4.7-any)mem_2.19.tar.gz(r-4.6-any)
mem_2.19.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
mem/json (API)
| # Install 'mem' in R: |
| install.packages('mem', repos = c('https://lozalojo.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/lozalojo/mem/issues
Last updated from:780cd0bdcf. Checks:9 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-x86_64 | OK | 146 | ||
| source / vignettes | OK | 136 | ||
| linux-release-x86_64 | OK | 153 | ||
| macos-release-arm64 | OK | 92 | ||
| macos-oldrel-arm64 | OK | 88 | ||
| windows-devel | OK | 106 | ||
| windows-release | OK | 103 | ||
| windows-oldrel | OK | 114 | ||
| wasm-release | OK | 102 |
Exports:epimemepitimingfull.series.graphmemevolutionmemgoodnessmemintensitymemmodelmemstabilitymemsurveillancememsurveillance.animatedmemtimingmemtrendoptimum.by.inspectionprocessPlotsroc.analysistransformdatatransformdata.backtransformseries
Dependencies:bootclicpp11dplyrEnvStatsfarvergenericsggplot2gluegtableisobandlabelinglifecyclemagrittrMASSmclustnortestpillarpkgconfigpurrrR6RColorBrewerRcppRcppRollrlangS7scalessmstringistringrtibbletidyrtidyselectutf8vctrsviridisLitewithr
