processPlots: Full process plots for mem

In mem: The Moving Epidemic Method

Full process plots for mem

Description

Function processPlots creates graphs of all mem process

Usage

processPlots(i.flu, i.output = ".", i.prefix = "")

Arguments

i.flu	Object of class flu.
i.output	Output directory.
i.prefix	Prefix for all files to be output.

Details

Create plots related to the process of calculating MEM indicators to an output directory, showing the MAP curves and the slope of the MAP curve and how the timing is calculated.

Value

processPlots prints a set of graphs.

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)
# Graphs
epi <- memmodel(flucyl)
# uncomment to execute
# processPlots(epi)

mem documentation built on July 9, 2023, 6:34 p.m.