View source: R/optimum.by.inspection.R
optimum.by.inspection | R Documentation |
Function optimum.by.inspection
perform an analysis of mem parameters
to find the one that fits better a panel of experts inspection criterium.
To be written
optimum.by.inspection(
i.data,
i.param.values = seq(1, 5, 0.1),
i.graph = F,
i.graph.file = F,
i.graph.file.name = "",
i.graph.title = "",
i.graph.subtitle = "",
i.output = "."
)
i.data |
Data frame of input data. |
i.param.values |
values to use in the i.param value of |
i.graph |
create a graph with the outputs (T/F). |
i.graph.file |
write the graph to a file. |
i.graph.file.name |
name of the output file. |
i.graph.title |
title of the graph. |
i.graph.subtitle |
subtitle of the graph. |
i.output |
output directory. |
optimum.by.inspection
returns a list.
An object of class mem
is a list containing at least the following components:
optimum |
optimum value. |
optimum.data |
Data related to the optimum value. |
summary.data |
Data for all values tested. |
inspection.data |
Detailed results of each iteration. |
Jose E. Lozano lozalojo@gmail.com
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
# Castilla y Leon Influenza Rates data
data(flucyl)
# Inspection. It runs interactively (uncomment to run)
# if (interactive()) {
# opt.ins <- optimum.by.inspection(flucyl, i.param.values = seq(2.0, 3.0, 0.1))
# opt.ins$optimum
# }
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