processPlots {mem} | R Documentation |
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 lozalojo@gmail.com
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)