memstability: Stability of indicators

In lozalojo/mem: The Moving Epidemic Method

Stability of indicators

Description

Function memstability perform an analisys of stability of estimators

Usage

memstability(i.data, ...)

Arguments

i.data	Data frame of input data.
...	other parameters passed to memmodel.

Details

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.

Value

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

• stability.data data for each value analysed.

• stability.seasons seasons used for each iteration.

Author(s)

Jose E. Lozano [e-mail]

References

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: https://zenodo.org/record/165983. DOI:10.5281/zenodo.165983

Examples

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

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