memstability: Stability of indicators

View source: R/memstability.R

memstabilityR Documentation

Stability of indicators


Function memstability perform an analisys of stability of estimators


memstability(, ...)


Data frame of input data.


other parameters passed to memmodel.


Shows the stability of the main indicators according the number of seasons used to calculate them. That allows to decide the minimum and maximum number of seasons to be included in the model for this specific country and parameter.

These indicators are calculated for the next upcoming season, so for all the iterations are used the last number of seasons determined by the x-axis, so that 2 means 'last two seasons', 10 means 'last ten seasons' and so on.

The stability.seasons output shows data used to calculate each particular point in the graph.


memstability returns a list. A list containing at least the following components:

  • data for each value analysed.

  • stability.seasons seasons used for each iteration.


Jose E. Lozano


Vega T, Lozano JE, Ortiz de Lejarazu R, Gutierrez Perez M. Modelling influenza epidemic - can we detect the beginning and predict the intensity and duration? Int Congr Ser. 2004 Jun;1263:281-3.

Vega T, Lozano JE, Meerhoff T, Snacken R, Mott J, Ortiz de Lejarazu R, et al. Influenza surveillance in Europe: establishing epidemic thresholds by the moving epidemic method. Influenza Other Respir Viruses. 2013 Jul;7(4):546-58. DOI:10.1111/j.1750-2659.2012.00422.x.

Vega T, Lozano JE, Meerhoff T, Snacken R, Beaute J, Jorgensen P, et al. Influenza surveillance in Europe: comparing intensity levels calculated using the moving epidemic method. Influenza Other Respir Viruses. 2015 Sep;9(5):234-46. DOI:10.1111/irv.12330.

Lozano JE. lozalojo/mem: Second release of the MEM R library. Zenodo [Internet]. [cited 2017 Feb 1]; Available from: DOI:10.5281/zenodo.165983


# Castilla y Leon Influenza Rates data
# Stability
stability <- memstability(flucyl)

lozalojo/mem documentation built on July 7, 2023, 10 a.m.