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.

Version:	2.16
Depends:	R (≥ 3.4.0)
Imports:	shiny, shinydashboard, shinyWidgets, shinyBS, shinyjs, RColorBrewer, tidyr, dplyr, stringr, stringi, DT, formattable, ggplot2, plotly, mem (≥ 2.18)
Suggests:	openxlsx, readxl, foreign, haven, readODS, RODBC, magick
Published:	2023-06-20
DOI:	10.32614/CRAN.package.memapp
Author:	Jose E. Lozano [aut, cre]
Maintainer:	Jose E. Lozano <lozalojo at gmail.com>
BugReports:	https://github.com/lozalojo/memapp/issues
License:	GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
URL:	https://github.com/lozalojo/memapp
NeedsCompilation:	no
Materials:	README
In views:	Epidemiology
CRAN checks:	memapp results

Documentation:

Reference manual:

memapp.pdf

Downloads:

Package source:	memapp_2.16.tar.gz
Windows binaries:	r-devel: memapp_2.16.zip, r-release: memapp_2.16.zip, r-oldrel: memapp_2.16.zip
macOS binaries:	r-release (arm64): memapp_2.16.tgz, r-oldrel (arm64): memapp_2.16.tgz, r-release (x86_64): memapp_2.16.tgz, r-oldrel (x86_64): memapp_2.16.tgz
Old sources:	memapp archive

Linking:

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