Package: memapp 2.16

Jose E. Lozano

memapp: The Moving Epidemic Method Web Application

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. 'memapp' is a web application created in the Shiny framework for the 'mem' R package.

Authors:Jose E. Lozano [aut, cre]

memapp_2.16.tar.gz
memapp_2.16.zip(r-4.5)memapp_2.16.zip(r-4.4)memapp_2.16.zip(r-4.3)
memapp_2.16.tgz(r-4.5-any)memapp_2.16.tgz(r-4.4-any)memapp_2.16.tgz(r-4.3-any)
memapp_2.16.tar.gz(r-4.5-noble)memapp_2.16.tar.gz(r-4.4-noble)
memapp_2.16.tgz(r-4.4-emscripten)memapp_2.16.tgz(r-4.3-emscripten)
memapp.pdf |memapp.html✨
memapp/json (API)

# Install 'memapp' in R:
install.packages('memapp', repos = c('https://epiverse-connect.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/lozalojo/memapp/issues

Datasets:
  • flucyl - Castilla y Leon influenza crude rates
  • flucylraw - Castilla y Leon influenza standarised rates

On CRAN:

influenzamem

3.48 score 3 stars 2 scripts 533 downloads 1 mentions 1 exports 89 dependencies

Last updated 2 years agofrom:35d94958c7. Checks:8 OK. Indexed: no.

TargetResultLatest binary
Doc / VignettesOKFeb 17 2025
R-4.5-winOKFeb 17 2025
R-4.5-macOKFeb 17 2025
R-4.5-linuxOKFeb 17 2025
R-4.4-winOKFeb 17 2025
R-4.4-macOKFeb 17 2025
R-4.3-winOKFeb 17 2025
R-4.3-macOKFeb 17 2025

Exports:runmemapp

Dependencies:askpassbase64encbootbslibcachemclicolorspacecommonmarkcpp11crayoncrosstalkcurldata.tabledigestdplyrDTEnvStatsevaluatefansifarverfastmapfontawesomeformattablefsgenericsggplot2gluegtablehighrhtmltoolshtmlwidgetshttpuvhttrisobandjquerylibjsonliteknitrlabelinglaterlatticelazyevallifecyclemagrittrMASSMatrixmclustmemmemoisemgcvmimemunsellnlmenortestopensslpillarpkgconfigplotlypromisespurrrR6rappdirsRColorBrewerRcppRcppRollrlangrmarkdownsassscalesshinyshinyBSshinydashboardshinyjsshinyWidgetssmsourcetoolsstringistringrsystibbletidyrtidyselecttinytexutf8vctrsviridisLitewithrxfunxtableyaml