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:Jose E. Lozano [aut, cre]

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mem.pdf |mem.html
mem/json (API)

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

Peer review:

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

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

On CRAN:

influenzamem

18 exports 12 stars 4.11 score 43 dependencies 1 dependents 28 mentions 78 scripts 506 downloads

Last updated 1 years agofrom:e8bbdcc1df. Checks:OK: 3 NOTE: 4. Indexed: yes.

TargetResultDate
Doc / VignettesOKSep 14 2024
R-4.5-winNOTESep 14 2024
R-4.5-linuxNOTESep 14 2024
R-4.4-winNOTESep 14 2024
R-4.4-macNOTESep 14 2024
R-4.3-winOKSep 14 2024
R-4.3-macOKSep 14 2024

Exports:epimemepitimingfull.series.graphmemevolutionmemgoodnessmemintensitymemmodelmemstabilitymemsurveillancememsurveillance.animatedmemtimingmemtrendoptimum.by.inspectionprocessPlotsroc.analysistransformdatatransformdata.backtransformseries

Dependencies:bootclicolorspacecpp11dplyrEnvStatsfansifarvergenericsggplot2gluegtableisobandlabelinglatticelifecyclemagrittrMASSMatrixmclustmgcvmunsellnlmenortestpillarpkgconfigpurrrR6RColorBrewerRcppRcppRollrlangscalessmstringistringrtibbletidyrtidyselectutf8vctrsviridisLitewithr