Package: memapp
Version: 2.16
Date: 2023-06-20
Title: The Moving Epidemic Method Web Application
Description: 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@R: person(given = "Jose E.", family = "Lozano", email = "lozalojo@gmail.com", role = c("aut", "cre"))
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
License: GPL (>= 2)
URL: https://github.com/lozalojo/memapp
BugReports: https://github.com/lozalojo/memapp/issues
Encoding: UTF-8
RoxygenNote: 7.2.3
Config/pak/sysreqs: cmake make libicu-dev libuv1-dev libssl-dev
        zlib1g-dev
Repository: https://lozalojo.r-universe.dev
Date/Publication: 2023-06-21 06:20:33 UTC
RemoteUrl: https://github.com/lozalojo/memapp
RemoteRef: HEAD
RemoteSha: 35d94958c738928def58253586583db94c6813f1
NeedsCompilation: no
Packaged: 2026-06-09 07:39:03 UTC; root
Author: Jose E. Lozano [aut, cre]
Maintainer: Jose E. Lozano <lozalojo@gmail.com>