Package: mem 2.18

Jose E. Lozano

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]

mem_2.18.tar.gz
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mem.pdf |mem.html
mem/json (API)

# Install 'mem' in R:
install.packages('mem', repos = c('https://epiverse-connect.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

6.18 score 12 stars 1 packages 85 scripts 575 downloads 28 mentions 18 exports 43 dependencies

Last updated 1 years agofrom:e8bbdcc1df. Checks:OK: 3 NOTE: 4. Indexed: no.

TargetResultDate
Doc / VignettesOKNov 10 2024
R-4.5-winNOTENov 10 2024
R-4.5-linuxNOTENov 10 2024
R-4.4-winNOTENov 10 2024
R-4.4-macNOTENov 10 2024
R-4.3-winOKNov 10 2024
R-4.3-macOKNov 10 2024

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

Dependencies:bootclicolorspacecpp11dplyrEnvStatsfansifarvergenericsggplot2gluegtableisobandlabelinglatticelifecyclemagrittrMASSMatrixmclustmgcvmunsellnlmenortestpillarpkgconfigpurrrR6RColorBrewerRcppRcppRollrlangscalessmstringistringrtibbletidyrtidyselectutf8vctrsviridisLitewithr