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mem  

The Moving Epidemic Method
View on CRAN: Click here


Download and install mem package within the R console
Install from CRAN:
install.packages("mem")

Install from Github:
library("remotes")
install_github("cran/mem")

Install by package version:
library("remotes")
install_version("mem", "2.18")



Attach the package and use:
library("mem")
Maintained by
Jose E. Lozano
[Scholar Profile | Author Map]
First Published: 2010-11-26
Latest Update: 2023-06-20
Description:
The Moving Epidemic Method, created by T Vega and JE Lozano (2012, 2015) , , 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.
How to cite:
Jose E. Lozano (2010). mem: The Moving Epidemic Method. R package version 2.18, https://cran.r-project.org/web/packages/mem. Accessed 10 Apr. 2025.
Previous versions and publish date:
1.0 (2010-11-26 13:50), 1.2 (2012-10-01 14:19), 1.3 (2013-06-25 12:48), 1.4 (2014-07-18 10:06), 2.5 (2017-06-01 13:04), 2.6 (2017-06-06 18:47), 2.7 (2017-06-08 14:32), 2.8 (2017-06-23 15:21), 2.9 (2017-07-07 20:53), 2.10 (2017-09-01 11:49), 2.11 (2017-10-23 20:18), 2.12 (2018-03-02 16:54), 2.13 (2018-06-01 20:57), 2.14 (2018-11-08 12:50), 2.15 (2019-05-28 11:20), 2.16 (2020-09-13 18:40), 2.17 (2022-04-13 23:32)
Other packages that cited mem R package
View mem citation profile
Other R packages that mem depends, imports, suggests or enhances
Complete documentation for mem
Functions, R codes and Examples using the mem R package
Some associated functions: add.alpha . calcular.indicadores.2.timings . calcular.indicadores . calcular.map . calcular.optimo.criterio . calcular.optimo.derivada . calcular.optimo . calcular.optimo.original . calcular.optimo.pendiente . comparar.metodos . create.calendar . epimem . epitiming . extraer.datos.curva.map . extraer.datos.epi . extraer.datos.optimo.map . extraer.datos.post.epi . extraer.datos.pre.epi . fill.missing . flucyl . flucylraw . full.series.graph . get.dates . get.epiweek . iconfianza.aritmetica . iconfianza.completo . iconfianza.geometrica . iconfianza.logx . iconfianza . iconfianza.percentil.boot . iconfianza.percentil.eqnpar . iconfianza.percentil.kc . iconfianza.x . maxFixNA . maxnvalores . mem-package . memevolution . memgoodness . memintensity . memmodel . memstability . memsurveillance.animated . memsurveillance . memtiming . memtrend . minFixNA . minnvalores . missings.inside . normalizar . optimal.tickmarks . optimum.by.inspection . output.ci . percentage.added . processPlots . roc.analysis . semana.absoluta . suavizado . transformdata.back . transformdata . transformseries.loess . transformseries.moving.average . transformseries.multiple . transformseries . transformseries.odd . transformseries.spline . transformseries.twowaves . 
Some associated R codes: add.alpha.R . calcular.indicadores.2.timings.R . calcular.indicadores.R . calcular.map.R . calcular.optimo.R . calcular.optimo.criterio.R . calcular.optimo.derivada.R . calcular.optimo.original.R . calcular.optimo.pendiente.R . comparar.metodos.R . create.calendar.R . epimem.R . epitiming.R . extraer.datos.curva.map.R . extraer.datos.epi.R . extraer.datos.optimo.map.R . extraer.datos.post.epi.R . extraer.datos.pre.epi.R . fill.missing.R . flucyl.R . flucylraw.R . full.series.graph.R . get.dates.R . get.epiweek.R . iconfianza.R . iconfianza.aritmetica.R . iconfianza.completo.R . iconfianza.geometrica.R . iconfianza.logx.R . iconfianza.percentil.boot.R . iconfianza.percentil.eqnpar.R . iconfianza.percentil.kc.R . iconfianza.x.R . maxFixNA.R . maxnvalores.R . mem.R . memevolution.R . memgoodness.R . memintensity.R . memmodel.R . memstability.R . memsurveillance.R . memsurveillance.animated.R . memtiming.R . memtrend.R . minFixNA.R . minnvalores.R . missings.inside.R . normalizar.R . optimal.tickmarks.R . optimum.by.inspection.R . output.ci.R . percentage.added.R . processPlots.R . roc.analysis.R . semana.absoluta.R . suavizado.R . transformdata.R . transformdata.back.R . transformseries.R . transformseries.loess.R . transformseries.moving.average.R . transformseries.multiple.R . transformseries.odd.R . transformseries.spline.R . transformseries.twowaves.R .  Full mem package functions and examples
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